Bullying is a major issue that schools are still having issues with. Students today are being bul... more Bullying is a major issue that schools are still having issues with. Students today are being bullied the most during their middle school years. In order to understand how we can address these issues and prevent it from continuing in this community, this report answers the following research questions: Is bullying a problem and why? What are the solutions or interventions to prevent bullying? What changes from elementary schools to middle schools that increase bullying for females? And how can we prevent females from bullying or becoming victimized? In a review of the literature on bullying from a female\u27s perspective, the research shows that females are usually victimized by other females through social and verbal threats. This issue ranges from spreading rumors to exclusion of others. Another reason females are bullied is because of puberty. Another important finding is that female perpetrators use relational aggression to bully others. This report presents an interview of a lo...
Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI, 2018
El ozono (O3) se encuentra presente en distintas capas de la atmósfera: en la estratosfera, actúa... more El ozono (O3) se encuentra presente en distintas capas de la atmósfera: en la estratosfera, actúa como filtro de las radiaciones ultravioleta emitidas por el sol, mientras que en la troposfera es un contaminante dañino para los organismos vivos y también es un gas precursor de efecto invernadero. El objetivo de este estudio fue evaluar las variaciones horarias en la concentración de O3 en el municipio de Mineral de la Reforma, Hidalgo, para ello empleamos detectores colorimétricos preparados con una solución de almidón/KI. Los resultados obtenidos por la exposición de los detectores al O3 en la zona de estudio mostraron que la máxima concentración de este gas se presentó a las 12h00, con una temperatura promedio de 18.5°C y una humedad relativa entre 16 y 20%.
Requirements elicitation is a relevant research area in Requirements Engineering(RE) since elicit... more Requirements elicitation is a relevant research area in Requirements Engineering(RE) since elicitation is a key task that must be performed in any project [12].Elicitation usually involves different types of stakeholders (e.g. analysts, man-agers, users, etc.) who provide information that may turn into requirements.Over time, several elicitation techniques have been proposed to gather require-ments. But how and when end-users express their expectations about a softwareis an issue that has been mainly explored within the user experience researchcommunity [7], and it is only recently that RE is looking at it [22]. User feedbackis recognised as a source for changes in a system [6] (i.e. changes in requirements,new ones, etc.).We define end-user feedback as meaningful information provided by end-usersof widely used software applications with the purpose of suggesting improvementsto such applications (i.e. new needs, modifications, or strategic behaviours).End-user feedback in discussion forums seems to be helpful for developers in evolvingapplications. Specifically, the continuous management of fansites (e.g. blogs, dis-cussion forums, etc.) of an online game (i.e. Habbo Hotel
2017 IEEE 25th International Requirements Engineering Conference (RE)
As different types of user feedback are becoming available, from a variety of sources and in larg... more As different types of user feedback are becoming available, from a variety of sources and in large amount, several analysis techniques have been developed with the purpose of extracting information that can be useful for requirements engineering purposes. For instance, automated extraction and prioritization of feature requests have been recently investigated for the specific case of app development, where the key prioritization criterion is value for the user. For other types of software applications and services, software evolution relies on multi-criteria requirements prioritization, which may take into account different stakeholders' perspectives, thus leading to a complex decision-making problem. Different automated reasoning techniques have been proposed to support multi-criteria requirements prioritization, aimed at reducing human effort and improving the quality of the resulting ranking of the candidate requirements.The goal of our research is to understand how we can exploit user feedback in tool-supported multi-criteria requirements prioritization processes. Towards this objective, we discuss the properties of user feedback which are relevant for requirements prioritization, formulate a multi-criteria requirements prioritization problem, and outline a possible solution that integrates state of the art automated reasoning techniques which we extend to cope with information derived from user feedback.
Proceedings of the Second International Workshop on CrowdSourcing in Software Engineering, May 16, 2015
Stakeholders working in open-source software development use social media, emails or any availabl... more Stakeholders working in open-source software development use social media, emails or any available means in the Internet to communicate and express what they want or need through the use of text. The recognition of such needs or desires (that we call intentions) is usually done by a human reader, and it can require a considerable effort when the amount of messages in online discussions increases. The problem is that to support an automated recognition of the intentions hidden in the text, data are needed in the domain of software development for training classifiers. However, so far there is no data annotated with intentions that can be used for data mining purposes. In order to tackle the lack of data we have collected online discussions in the domain of software development and asked people to annotate such discussions with intentions. This collection has been performed by crowd sourcing the task of annotating sentences with their hidden intention. In this paper we report the experience of carrying out a crowd sourcing project with a heterogeneous crowd. We discuss how we applied the steps of the crowd sourcing workflow in Crowd Intent. Lessons learned and future work are also presented.
Large, distributed software development projects, like Open Source Software (OSS), adopt differen... more Large, distributed software development projects, like Open Source Software (OSS), adopt different collaborative working tools, including online fo- rums and mailing list discussions that are valuable source of knowledge for re- quirements engineering tasks in software evolution, such as model revision and evolution. In our research, we aim at providing tool support for retrieving infor- mation from these online resources, and for analyzing it. The solution we propose combines natural language processing techniques, machine learning, statistical and search based techniques to address two key problems, namely the so called expert finding problem, and the problem of identifying requests for changing re- quirements or soliciting new requirements, by exploiting online discussions. In this paper, we describe the solution approach set up so far with the help of an OSS scenario, discuss some preliminary evaluation, and highlight future work.
Feedback about software applications and services that end-users express through web-based commun... more Feedback about software applications and services that end-users express through web-based communication platforms represents an invaluable knowledge source for diverse software engineering tasks, including requirements elicitation. Research work on automated analysis of textual messages in app store reviews, open source software (OSS) mailing-lists and user forums has been rapidly increasing in the last five years. NLP techniques are applied to filter out irrelevant data, text mining and automated classification techniques are then used to classify messages into different categories, such as bug report and feature request. Our research focuses on online discussions that take place in user forums and OSS mailing-lists, and aims at providing automated analysis techniques to discover contained requirements. In this paper, we present a speech-acts based analysis technique, and experimentally evaluate it on a dataset taken from a widely used OSS project.
Online user feedback is principally used as an information source for evaluating customers' satis... more Online user feedback is principally used as an information source for evaluating customers' satisfaction for a given goods, service or software application. The increasing attitude of people towards sharing comments through the social media is making online user feedback a resource containing different types of valuable information. The huge amount of available user feedback has drawn the attention of researchers from different fields. For instance, data mining techniques have been developed to enable information extraction for different purposes, or the use of social techniques for involving users in the innovation of services and processes. Specifically, current research and technological efforts are put into the definition of platforms to gather and/or analyze multi-modal feedback. But we believe that the understanding of the type of concepts instantiated as information contained in user feedback would be beneficial to define new methods for its better exploitation. In our research, we focus on online explicit user feedback that can be considered as a powerful means for user-driven evolution of software services and applications. Up to our knowledge, a conceptualization of user feedback is still missing. With the purpose of contributing to fill up this gap we propose an ontology, for explicit online user feedback that is founded on a foundational ontology and has been proposed to describe artifacts and processes in software engineering. Our contribution in this paper concerns a novel user feedback ontology founded on a Unified Foundational Ontology (UFO) that supports the description of analysis processes of user feedback in software engineering. We describe the ontology together with an evaluation of its quality, and discuss some application scenarios.
2015 IEEE/ACM 2nd International Workshop on CrowdSourcing in Software Engineering, 2015
Stakeholders working in open-source software development use social media, emails or any availabl... more Stakeholders working in open-source software development use social media, emails or any available means in the Internet to communicate and express what they want or need through the use of text. The recognition of such needs or desires (that we call intentions) is usually done by a human reader, and it can require a considerable effort when the amount of messages in online discussions increases. The problem is that to support an automated recognition of the intentions hidden in the text, data are needed in the domain of software development for training classifiers. However, so far there is no data annotated with intentions that can be used for data mining purposes. In order to tackle the lack of data we have collected online discussions in the domain of software development and asked people to annotate such discussions with intentions. This collection has been performed by crowd sourcing the task of annotating sentences with their hidden intention. In this paper we report the experience of carrying out a crowd sourcing project with a heterogeneous crowd. We discuss how we applied the steps of the crowd sourcing workflow in Crowd Intent. Lessons learned and future work are also presented.
Lecture Notes in Business Information Processing, 2015
Open-Source Software (OSS) community members report bugs, request features or clarifications by w... more Open-Source Software (OSS) community members report bugs, request features or clarifications by writing messages (in unstructured natural language) to mailing lists. Analysts examine them dealing with an effort demanding and error prone task, which requires reading huge threads of emails. Automated support for retrieving relevant information and particularly for recognizing discussants’ intentions (e.g., suggesting, complaining) can support analysts, and allow them to increase the performance of this task. Online discussions are almost synchronous written conversations that can be analyzed applying computational linguistic techniques that build on the speech act theory. Our approach builds on this observation. We propose to analyze OSS mailing-list discussions in terms of the linguistic and non-linguistic acts expressed by the participants, and provide a tool-supported speech-act analysis method. In this paper we describe this method and discuss how to empirically evaluate it. We discuss the results of the first execution of an empirical study that involved 20 subjects.
The increasing participation of users of software applications in online discussions is attractin... more The increasing participation of users of software applications in online discussions is attracting the attention of researchers in requirements elicitation to look at this channel of communication as potential source of requirements knowledge. Taking the perspective of software engineers who analyse online discussions, the task of identifying bugs and new features by reading huge threads of e-mails can become effort demanding and error prone. Recognising discussants' speech acts in an automated manner is important to reveal intentions, such as suggesting, complaining, which can provide indicators for bug isolation and requirements. This paper presents a tool-supported method for identifying speech acts, which may provide hints to software engineers to speed up the analysis of online discussions. It builds on speech act theory and on an adaptation of the GATE framework, which implements computational linguistic techniques.
Goal-oriented approaches in requirements engineering aim at understanding stakeholders' needs, mo... more Goal-oriented approaches in requirements engineering aim at understanding stakeholders' needs, modelling the intentions, dependencies and expectation to be met by a system-to-be, or by a new release of an existing system in a software evolution process. In the context of software evolution, we consider user feedback, as commonly available in user forums and bug-trackers, as the information artefact that impacts specific requirements and design of the software. In this position paper, we argue about the advantages that goal-orientation can bring in this context when addressing the following issues: i) the analysis of user feedback, usually expressed as free or semi-structured text; and ii) the identification of the most expert users that can contribute to requirements evolution. We define the problems, state the emerging research questions and present contributions with the help of an illustrative example.
Nowadays, developers and service providers put a lot of effort on collecting and analyzing user f... more Nowadays, developers and service providers put a lot of effort on collecting and analyzing user feedback with the purpose of improving their applications and services. This motivates the proposal of new tools to collect and analyze feedback. In our work, we develop a user feedback ontology, aimed at clarifying the concepts of this domain. For that, we follow a goal-oriented methodology to identify the competency questions that represent the ontology requirements. In this paper, we discuss an excerpt of the goal model used to guide the development of our ontology. Moreover, we present examples of competency questions identified through the analysis, and the corresponding fragment of the user feedback ontology.
Companion Proceedings of the 36th International Conference on Software Engineering, 2014
ABSTRACT Large, distributed software development projects rely on the collaboration of culturally... more ABSTRACT Large, distributed software development projects rely on the collaboration of culturally heterogeneous and geographically distributed stakeholders. Software requirements, as well as solution ideas are elicited in distributed processes, which increasingly use online forums and mailing lists, in which stakeholders mainly use free or semi-structured natural language text. The identification of contributors of key information about a given topic --called experts, in both the software domain and code-- and in particular an automated support for retrieving information from available online resources, are becoming of crucial importance. In this paper, we address the problem of expert finding in mailing-list discussions, and propose an approach which combines content- and intent-based information extraction for ranking online discussants with respect to their expertise in the discussed topics. We illustrate its application on an example.
2012 Second IEEE International Workshop on Empirical Requirements Engineering (EmpiRE), 2012
A variety of methods and techniques for requirements elicitation and analysis have been proposed,... more A variety of methods and techniques for requirements elicitation and analysis have been proposed, in response to the diverse needs posed by the different types of information that have to be managed in designing complex software systems. Experience from real projects gives evidence that often these techniques are combined within a project, but which requirements each technique can better contribute to specify, and which information sources are prevalently used during requirements elicitation and validation is poorly documented. In this paper, we describe a retrospective analysis of the requirements engineering phase of a project in the domain of ambient assisted-living, were several elicitation techniques were used to elicit the requirements of a socio-technical system. By empirically analysing the available project documentation, we give a concrete example of the type of information that various elicitation techniques can give in a real project, linking initial sources of information to final requirements through different elicitation paths. We illustrate the design of this study and present an analysis of the collected data.
Software Engineering and Knowledge Engineering, 2010
At present, enterprises need sophisticated software applications to sell and promote their produc... more At present, enterprises need sophisticated software applications to sell and promote their products or services in order to maintain their leadership in the business world. One of the most promising trends is the use of Web services technology as the appropriate mechanism to implement e-business, which uses Internet to replicate services offered by an enterprise. However, despite the clear advantages of Web services, there are problems in determining the initial functionalities required by them. Currently, the functionalities of Web services are not obtained in a systematic manner from the organizational environment that Web services try to replicate. Therefore, it is complicated to ensure that Web services fit the business user’s needs. In this paper we face this problem by defining a methodological approach to generate Web services from serviceoriented organizational descriptions. The ModelDriven Architecture has been used in this work in order to ensure the systematic translation of modeling primitives of the organizational model into their corresponding WSDL services descriptions.
Bullying is a major issue that schools are still having issues with. Students today are being bul... more Bullying is a major issue that schools are still having issues with. Students today are being bullied the most during their middle school years. In order to understand how we can address these issues and prevent it from continuing in this community, this report answers the following research questions: Is bullying a problem and why? What are the solutions or interventions to prevent bullying? What changes from elementary schools to middle schools that increase bullying for females? And how can we prevent females from bullying or becoming victimized? In a review of the literature on bullying from a female\u27s perspective, the research shows that females are usually victimized by other females through social and verbal threats. This issue ranges from spreading rumors to exclusion of others. Another reason females are bullied is because of puberty. Another important finding is that female perpetrators use relational aggression to bully others. This report presents an interview of a lo...
Pädi Boletín Científico de Ciencias Básicas e Ingenierías del ICBI, 2018
El ozono (O3) se encuentra presente en distintas capas de la atmósfera: en la estratosfera, actúa... more El ozono (O3) se encuentra presente en distintas capas de la atmósfera: en la estratosfera, actúa como filtro de las radiaciones ultravioleta emitidas por el sol, mientras que en la troposfera es un contaminante dañino para los organismos vivos y también es un gas precursor de efecto invernadero. El objetivo de este estudio fue evaluar las variaciones horarias en la concentración de O3 en el municipio de Mineral de la Reforma, Hidalgo, para ello empleamos detectores colorimétricos preparados con una solución de almidón/KI. Los resultados obtenidos por la exposición de los detectores al O3 en la zona de estudio mostraron que la máxima concentración de este gas se presentó a las 12h00, con una temperatura promedio de 18.5°C y una humedad relativa entre 16 y 20%.
Requirements elicitation is a relevant research area in Requirements Engineering(RE) since elicit... more Requirements elicitation is a relevant research area in Requirements Engineering(RE) since elicitation is a key task that must be performed in any project [12].Elicitation usually involves different types of stakeholders (e.g. analysts, man-agers, users, etc.) who provide information that may turn into requirements.Over time, several elicitation techniques have been proposed to gather require-ments. But how and when end-users express their expectations about a softwareis an issue that has been mainly explored within the user experience researchcommunity [7], and it is only recently that RE is looking at it [22]. User feedbackis recognised as a source for changes in a system [6] (i.e. changes in requirements,new ones, etc.).We define end-user feedback as meaningful information provided by end-usersof widely used software applications with the purpose of suggesting improvementsto such applications (i.e. new needs, modifications, or strategic behaviours).End-user feedback in discussion forums seems to be helpful for developers in evolvingapplications. Specifically, the continuous management of fansites (e.g. blogs, dis-cussion forums, etc.) of an online game (i.e. Habbo Hotel
2017 IEEE 25th International Requirements Engineering Conference (RE)
As different types of user feedback are becoming available, from a variety of sources and in larg... more As different types of user feedback are becoming available, from a variety of sources and in large amount, several analysis techniques have been developed with the purpose of extracting information that can be useful for requirements engineering purposes. For instance, automated extraction and prioritization of feature requests have been recently investigated for the specific case of app development, where the key prioritization criterion is value for the user. For other types of software applications and services, software evolution relies on multi-criteria requirements prioritization, which may take into account different stakeholders' perspectives, thus leading to a complex decision-making problem. Different automated reasoning techniques have been proposed to support multi-criteria requirements prioritization, aimed at reducing human effort and improving the quality of the resulting ranking of the candidate requirements.The goal of our research is to understand how we can exploit user feedback in tool-supported multi-criteria requirements prioritization processes. Towards this objective, we discuss the properties of user feedback which are relevant for requirements prioritization, formulate a multi-criteria requirements prioritization problem, and outline a possible solution that integrates state of the art automated reasoning techniques which we extend to cope with information derived from user feedback.
Proceedings of the Second International Workshop on CrowdSourcing in Software Engineering, May 16, 2015
Stakeholders working in open-source software development use social media, emails or any availabl... more Stakeholders working in open-source software development use social media, emails or any available means in the Internet to communicate and express what they want or need through the use of text. The recognition of such needs or desires (that we call intentions) is usually done by a human reader, and it can require a considerable effort when the amount of messages in online discussions increases. The problem is that to support an automated recognition of the intentions hidden in the text, data are needed in the domain of software development for training classifiers. However, so far there is no data annotated with intentions that can be used for data mining purposes. In order to tackle the lack of data we have collected online discussions in the domain of software development and asked people to annotate such discussions with intentions. This collection has been performed by crowd sourcing the task of annotating sentences with their hidden intention. In this paper we report the experience of carrying out a crowd sourcing project with a heterogeneous crowd. We discuss how we applied the steps of the crowd sourcing workflow in Crowd Intent. Lessons learned and future work are also presented.
Large, distributed software development projects, like Open Source Software (OSS), adopt differen... more Large, distributed software development projects, like Open Source Software (OSS), adopt different collaborative working tools, including online fo- rums and mailing list discussions that are valuable source of knowledge for re- quirements engineering tasks in software evolution, such as model revision and evolution. In our research, we aim at providing tool support for retrieving infor- mation from these online resources, and for analyzing it. The solution we propose combines natural language processing techniques, machine learning, statistical and search based techniques to address two key problems, namely the so called expert finding problem, and the problem of identifying requests for changing re- quirements or soliciting new requirements, by exploiting online discussions. In this paper, we describe the solution approach set up so far with the help of an OSS scenario, discuss some preliminary evaluation, and highlight future work.
Feedback about software applications and services that end-users express through web-based commun... more Feedback about software applications and services that end-users express through web-based communication platforms represents an invaluable knowledge source for diverse software engineering tasks, including requirements elicitation. Research work on automated analysis of textual messages in app store reviews, open source software (OSS) mailing-lists and user forums has been rapidly increasing in the last five years. NLP techniques are applied to filter out irrelevant data, text mining and automated classification techniques are then used to classify messages into different categories, such as bug report and feature request. Our research focuses on online discussions that take place in user forums and OSS mailing-lists, and aims at providing automated analysis techniques to discover contained requirements. In this paper, we present a speech-acts based analysis technique, and experimentally evaluate it on a dataset taken from a widely used OSS project.
Online user feedback is principally used as an information source for evaluating customers' satis... more Online user feedback is principally used as an information source for evaluating customers' satisfaction for a given goods, service or software application. The increasing attitude of people towards sharing comments through the social media is making online user feedback a resource containing different types of valuable information. The huge amount of available user feedback has drawn the attention of researchers from different fields. For instance, data mining techniques have been developed to enable information extraction for different purposes, or the use of social techniques for involving users in the innovation of services and processes. Specifically, current research and technological efforts are put into the definition of platforms to gather and/or analyze multi-modal feedback. But we believe that the understanding of the type of concepts instantiated as information contained in user feedback would be beneficial to define new methods for its better exploitation. In our research, we focus on online explicit user feedback that can be considered as a powerful means for user-driven evolution of software services and applications. Up to our knowledge, a conceptualization of user feedback is still missing. With the purpose of contributing to fill up this gap we propose an ontology, for explicit online user feedback that is founded on a foundational ontology and has been proposed to describe artifacts and processes in software engineering. Our contribution in this paper concerns a novel user feedback ontology founded on a Unified Foundational Ontology (UFO) that supports the description of analysis processes of user feedback in software engineering. We describe the ontology together with an evaluation of its quality, and discuss some application scenarios.
2015 IEEE/ACM 2nd International Workshop on CrowdSourcing in Software Engineering, 2015
Stakeholders working in open-source software development use social media, emails or any availabl... more Stakeholders working in open-source software development use social media, emails or any available means in the Internet to communicate and express what they want or need through the use of text. The recognition of such needs or desires (that we call intentions) is usually done by a human reader, and it can require a considerable effort when the amount of messages in online discussions increases. The problem is that to support an automated recognition of the intentions hidden in the text, data are needed in the domain of software development for training classifiers. However, so far there is no data annotated with intentions that can be used for data mining purposes. In order to tackle the lack of data we have collected online discussions in the domain of software development and asked people to annotate such discussions with intentions. This collection has been performed by crowd sourcing the task of annotating sentences with their hidden intention. In this paper we report the experience of carrying out a crowd sourcing project with a heterogeneous crowd. We discuss how we applied the steps of the crowd sourcing workflow in Crowd Intent. Lessons learned and future work are also presented.
Lecture Notes in Business Information Processing, 2015
Open-Source Software (OSS) community members report bugs, request features or clarifications by w... more Open-Source Software (OSS) community members report bugs, request features or clarifications by writing messages (in unstructured natural language) to mailing lists. Analysts examine them dealing with an effort demanding and error prone task, which requires reading huge threads of emails. Automated support for retrieving relevant information and particularly for recognizing discussants’ intentions (e.g., suggesting, complaining) can support analysts, and allow them to increase the performance of this task. Online discussions are almost synchronous written conversations that can be analyzed applying computational linguistic techniques that build on the speech act theory. Our approach builds on this observation. We propose to analyze OSS mailing-list discussions in terms of the linguistic and non-linguistic acts expressed by the participants, and provide a tool-supported speech-act analysis method. In this paper we describe this method and discuss how to empirically evaluate it. We discuss the results of the first execution of an empirical study that involved 20 subjects.
The increasing participation of users of software applications in online discussions is attractin... more The increasing participation of users of software applications in online discussions is attracting the attention of researchers in requirements elicitation to look at this channel of communication as potential source of requirements knowledge. Taking the perspective of software engineers who analyse online discussions, the task of identifying bugs and new features by reading huge threads of e-mails can become effort demanding and error prone. Recognising discussants' speech acts in an automated manner is important to reveal intentions, such as suggesting, complaining, which can provide indicators for bug isolation and requirements. This paper presents a tool-supported method for identifying speech acts, which may provide hints to software engineers to speed up the analysis of online discussions. It builds on speech act theory and on an adaptation of the GATE framework, which implements computational linguistic techniques.
Goal-oriented approaches in requirements engineering aim at understanding stakeholders' needs, mo... more Goal-oriented approaches in requirements engineering aim at understanding stakeholders' needs, modelling the intentions, dependencies and expectation to be met by a system-to-be, or by a new release of an existing system in a software evolution process. In the context of software evolution, we consider user feedback, as commonly available in user forums and bug-trackers, as the information artefact that impacts specific requirements and design of the software. In this position paper, we argue about the advantages that goal-orientation can bring in this context when addressing the following issues: i) the analysis of user feedback, usually expressed as free or semi-structured text; and ii) the identification of the most expert users that can contribute to requirements evolution. We define the problems, state the emerging research questions and present contributions with the help of an illustrative example.
Nowadays, developers and service providers put a lot of effort on collecting and analyzing user f... more Nowadays, developers and service providers put a lot of effort on collecting and analyzing user feedback with the purpose of improving their applications and services. This motivates the proposal of new tools to collect and analyze feedback. In our work, we develop a user feedback ontology, aimed at clarifying the concepts of this domain. For that, we follow a goal-oriented methodology to identify the competency questions that represent the ontology requirements. In this paper, we discuss an excerpt of the goal model used to guide the development of our ontology. Moreover, we present examples of competency questions identified through the analysis, and the corresponding fragment of the user feedback ontology.
Companion Proceedings of the 36th International Conference on Software Engineering, 2014
ABSTRACT Large, distributed software development projects rely on the collaboration of culturally... more ABSTRACT Large, distributed software development projects rely on the collaboration of culturally heterogeneous and geographically distributed stakeholders. Software requirements, as well as solution ideas are elicited in distributed processes, which increasingly use online forums and mailing lists, in which stakeholders mainly use free or semi-structured natural language text. The identification of contributors of key information about a given topic --called experts, in both the software domain and code-- and in particular an automated support for retrieving information from available online resources, are becoming of crucial importance. In this paper, we address the problem of expert finding in mailing-list discussions, and propose an approach which combines content- and intent-based information extraction for ranking online discussants with respect to their expertise in the discussed topics. We illustrate its application on an example.
2012 Second IEEE International Workshop on Empirical Requirements Engineering (EmpiRE), 2012
A variety of methods and techniques for requirements elicitation and analysis have been proposed,... more A variety of methods and techniques for requirements elicitation and analysis have been proposed, in response to the diverse needs posed by the different types of information that have to be managed in designing complex software systems. Experience from real projects gives evidence that often these techniques are combined within a project, but which requirements each technique can better contribute to specify, and which information sources are prevalently used during requirements elicitation and validation is poorly documented. In this paper, we describe a retrospective analysis of the requirements engineering phase of a project in the domain of ambient assisted-living, were several elicitation techniques were used to elicit the requirements of a socio-technical system. By empirically analysing the available project documentation, we give a concrete example of the type of information that various elicitation techniques can give in a real project, linking initial sources of information to final requirements through different elicitation paths. We illustrate the design of this study and present an analysis of the collected data.
Software Engineering and Knowledge Engineering, 2010
At present, enterprises need sophisticated software applications to sell and promote their produc... more At present, enterprises need sophisticated software applications to sell and promote their products or services in order to maintain their leadership in the business world. One of the most promising trends is the use of Web services technology as the appropriate mechanism to implement e-business, which uses Internet to replicate services offered by an enterprise. However, despite the clear advantages of Web services, there are problems in determining the initial functionalities required by them. Currently, the functionalities of Web services are not obtained in a systematic manner from the organizational environment that Web services try to replicate. Therefore, it is complicated to ensure that Web services fit the business user’s needs. In this paper we face this problem by defining a methodological approach to generate Web services from serviceoriented organizational descriptions. The ModelDriven Architecture has been used in this work in order to ensure the systematic translation of modeling primitives of the organizational model into their corresponding WSDL services descriptions.
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Papers by Itzel Ramirez