Requirements are critical for the success of software projects. Requirements are practically diff... more Requirements are critical for the success of software projects. Requirements are practically difficult to produce, as the hardest stage of building a software system is to decide what the system should do. Moreover, requirements errors are expensive to fix in the later phases of the software development life cycle. The rapidly changing business environment is highly challenging traditional Requirements Engineering (RE) practices. Most of the software development organizations are working in such dynamic environment, as a result, either by or without their awareness agile methodologies are adopted in various phases of their software development cycles. The aim of this paper is to investigate the adherence degree of agile RE practices in various software development organizations that are classifying themselves as adopting traditional (i.e. non-agile) software development methodologies. An approach is proposed for achieving this aim and it is applied on five different projects from four different organizations. The result shows that even the non-agile software development organizations are applying agile RE practices by different adherence degrees.
This paper is concerned with evaluating the performance of software project manager using Goal Qu... more This paper is concerned with evaluating the performance of software project manager using Goal Question Metrics (GQM) method. It clarifies the Software Project Management (SPM) domains and the performance metrics of each domain. This paper presents the basic concepts of GQM method. Based on a combination of statistical techniques, this paper presents how to apply GQM method to evaluate the performance of a software project manager. A software company can use the proposed approach to track, evaluate, control, correct, and enhance the performance of software project managers to increase the success rate of software projects.
ABSTRACT Effort estimation in the domain of software development is a process of forecasting the ... more ABSTRACT Effort estimation in the domain of software development is a process of forecasting the amount of effort expressed in persons/month required to develop software. Most of the existing effort estimation techniques are suitable for traditional software projects. The nature of agile software projects is different from traditional software projects; therefore using the traditional effort estimation techniques can produce inaccurate estimation. Agile software projects require an innovated effort estimation framework to help in producing accurate estimation. The main focus of this paper is the utilization of fuzzy logic in improving the effort estimation accuracy using the user stories by characterizing inputs parameters using trapezoidal membership functions. In this paper, the researchers proposed a framework based on the fuzzy logic which receives fuzzy input parameters of Story Points (SP), Implementation Level Factor (ILF), FRiction factors (FR), and Dynamic Forces (DF) to be processed in many successive steps to produce in final the effort estimation. The researchers designed the proposed framework using MATLAB to make it ready for later experiments using real data sets.
This paper is concerned with providing an enhanced Scrum framework that combines some practices o... more This paper is concerned with providing an enhanced Scrum framework that combines some practices of eXtreme Programming (XP) approach in Scrum framework to produce quality software on time. XP and Scrum are two agile software development methods. While Scrum is focused on project management, XP is focused on Software development; nevertheless, they both can be used to participate in the development of any software project independently or together. This paper presents the main concepts, features, phases, artifacts, and roles of Scrum as well as a brief introduction to XP and its practices. In this paper, the researcher presents how to combine some XP practices into Scrum activities. The researcher exploits the features and best practices of the two methods to propose an enhanced Scrum framework that includes an elaborated set of guidelines for achieving each Scrum activity. Therefore, the enhanced Scrum framework is more applicable than many previous attempts in this domain. The enha...
Electronic Customer Relationship Management (e-CRM) plays an important role in managing the activ... more Electronic Customer Relationship Management (e-CRM) plays an important role in managing the activity of e-commerce websites. Correct implementation of information technology in e-commerce websites design can have positive influence not only on data processing, but also on the efficiency of e-commerce websites. The implementation of e-CRM is quite an expensive investment project for most enterprises, so it is very important to evaluate the effect of e-CRM on customers’ satisfaction. Customer satisfaction problem has multi hierarchal levels; each level includes many factors that have different weights. Therefore, the proposed approach based on multi levels, multi criteria, and cluster technique. In addition, a proposed evaluation algorithm is presented to evaluate and analyze the effect of e-CRM on customers’ satisfaction. Finally, a case study is used to explain and validate a proposed approach.
International Journal of Advanced Computer Science and Applications, 2015
With large growth in technology, reduced cost of storage media and networking enabled the organiz... more With large growth in technology, reduced cost of storage media and networking enabled the organizations to collect very large volume of information from huge sources. Different data mining techniques are applied on such huge data to extract useful and relevant knowledge. The disclosure of sensitive data to unauthorized parties is a critical issue for organizations which could be most critical problem of data mining. So Privacy preserving data mining (PPDM) has become increasingly popular because it solves this problem and allows sharing of privacy sensitive data for analytical purposes. A lot of privacy techniques were developed based on the k-anonymity property. Because of a lot of shortcomings of the k-anonymity model, other privacy models were introduced. Most of these techniques release one table for research public after they applied on original tables. In this paper the researchers introduce techniques which publish more than one table for organizations preserving individual's privacy. One of this is (α, k) -anonymity using lossy-Join which releases two tables for publishing in such a way that the privacy protection for (α, k)-anonymity can be achieved with less distortion, and the other one is Anatomy technique which releases all the quasi-identifier and sensitive values directly in two separate tables, met l-diversity privacy requirements, without any modification in the original table.
Privacy preserving data mining (PPDM) has become more and more important because it allows sharin... more Privacy preserving data mining (PPDM) has become more and more important because it allows sharing of privacy sensitive data for analytical purposes. A big number of privacy techniques were developed most of which used the k-anonymity property which have many shortcomings, so other privacy techniques were introduced (l-diversity, p-sensitive k-anonymity, (α, k)-anonymity, tcloseness, etc.). While they are different in their methods and quality of their results, they all focus first on masking the data, and then protecting the quality of the data. This paper is concerned with providing an enhanced privacy technique that combines some anonymity techniques to maintain both privacy and data utility by considering the sensitivity values of attributes in queries using sensitivity weights which determine taking in account utility-based anonymization and then only queries having sensitive attributes whose values exceed threshold are to be changed using generalization boundaries. The threshold value is calculated depending on the different weights assigned to individual attributes which take into account the utility of each attribute and those particular attributes whose total weights exceed the threshold values is changed using generalization boundaries and the other queries can be directly published. Experiment results using UT dallas anonymization toolbox on real data set adult database from the UC machine learning repository show that although the proposed technique preserves privacy, it also can maintain the utility of the publishing data.
Web service technology has gained more important role in developing distributed applications and ... more Web service technology has gained more important role in developing distributed applications and systems on the Internet. Rapid growth of published web services makes their discovery more and more difficult. Nowadays, most of web service providers sign Services Level Agreement (SLA) contracts with their clients in order to guarantee the offered functionality of their services. This paper proposes an approach to monitor Quality of Services (QoS) in web service according to Service Level Objectives (SLO) in SLA. Monitoring procedures are introduced to check variations in the pre-agreed metric values of SLAs. Then, the deviation between the actual quality and the acceptable quality level can be identified and analyzed. Finally, the weaknesses of the web service practices can be discovered and solved.
International Journal of Advanced Computer Science and Applications, 2015
Requirements are critical for the success of software projects. Requirements are practically diff... more Requirements are critical for the success of software projects. Requirements are practically difficult to produce, as the hardest stage of building a software system is to decide what the system should do. Moreover, requirements errors are expensive to fix in the later phases of the software development life cycle. The rapidly changing business environment is highly challenging traditional Requirements Engineering (RE) practices. Most of the software development organizations are working in such dynamic environment, as a result, either by or without their awareness agile methodologies are adopted in various phases of their software development cycles. The aim of this paper is to investigate the adherence degree of agile RE practices in various software development organizations that are classifying themselves as adopting traditional (i.e. non-agile) software development methodologies. An approach is proposed for achieving this aim and it is applied on five different projects from four different organizations. The result shows that even the non-agile software development organizations are applying agile RE practices by different adherence degrees.
Requirements are critical for the success of software projects. Requirements are practically diff... more Requirements are critical for the success of software projects. Requirements are practically difficult to produce, as the hardest stage of building a software system is to decide what the system should do. Moreover, requirements errors are expensive to fix in the later phases of the software development life cycle. The rapidly changing business environment is highly challenging traditional Requirements Engineering (RE) practices. Most of the software development organizations are working in such dynamic environment, as a result, either by or without their awareness agile methodologies are adopted in various phases of their software development cycles. The aim of this paper is to investigate the adherence degree of agile RE practices in various software development organizations that are classifying themselves as adopting traditional (i.e. non-agile) software development methodologies. An approach is proposed for achieving this aim and it is applied on five different projects from four different organizations. The result shows that even the non-agile software development organizations are applying agile RE practices by different adherence degrees.
This paper is concerned with evaluating the performance of software project manager using Goal Qu... more This paper is concerned with evaluating the performance of software project manager using Goal Question Metrics (GQM) method. It clarifies the Software Project Management (SPM) domains and the performance metrics of each domain. This paper presents the basic concepts of GQM method. Based on a combination of statistical techniques, this paper presents how to apply GQM method to evaluate the performance of a software project manager. A software company can use the proposed approach to track, evaluate, control, correct, and enhance the performance of software project managers to increase the success rate of software projects.
ABSTRACT Effort estimation in the domain of software development is a process of forecasting the ... more ABSTRACT Effort estimation in the domain of software development is a process of forecasting the amount of effort expressed in persons/month required to develop software. Most of the existing effort estimation techniques are suitable for traditional software projects. The nature of agile software projects is different from traditional software projects; therefore using the traditional effort estimation techniques can produce inaccurate estimation. Agile software projects require an innovated effort estimation framework to help in producing accurate estimation. The main focus of this paper is the utilization of fuzzy logic in improving the effort estimation accuracy using the user stories by characterizing inputs parameters using trapezoidal membership functions. In this paper, the researchers proposed a framework based on the fuzzy logic which receives fuzzy input parameters of Story Points (SP), Implementation Level Factor (ILF), FRiction factors (FR), and Dynamic Forces (DF) to be processed in many successive steps to produce in final the effort estimation. The researchers designed the proposed framework using MATLAB to make it ready for later experiments using real data sets.
This paper is concerned with providing an enhanced Scrum framework that combines some practices o... more This paper is concerned with providing an enhanced Scrum framework that combines some practices of eXtreme Programming (XP) approach in Scrum framework to produce quality software on time. XP and Scrum are two agile software development methods. While Scrum is focused on project management, XP is focused on Software development; nevertheless, they both can be used to participate in the development of any software project independently or together. This paper presents the main concepts, features, phases, artifacts, and roles of Scrum as well as a brief introduction to XP and its practices. In this paper, the researcher presents how to combine some XP practices into Scrum activities. The researcher exploits the features and best practices of the two methods to propose an enhanced Scrum framework that includes an elaborated set of guidelines for achieving each Scrum activity. Therefore, the enhanced Scrum framework is more applicable than many previous attempts in this domain. The enha...
Electronic Customer Relationship Management (e-CRM) plays an important role in managing the activ... more Electronic Customer Relationship Management (e-CRM) plays an important role in managing the activity of e-commerce websites. Correct implementation of information technology in e-commerce websites design can have positive influence not only on data processing, but also on the efficiency of e-commerce websites. The implementation of e-CRM is quite an expensive investment project for most enterprises, so it is very important to evaluate the effect of e-CRM on customers’ satisfaction. Customer satisfaction problem has multi hierarchal levels; each level includes many factors that have different weights. Therefore, the proposed approach based on multi levels, multi criteria, and cluster technique. In addition, a proposed evaluation algorithm is presented to evaluate and analyze the effect of e-CRM on customers’ satisfaction. Finally, a case study is used to explain and validate a proposed approach.
International Journal of Advanced Computer Science and Applications, 2015
With large growth in technology, reduced cost of storage media and networking enabled the organiz... more With large growth in technology, reduced cost of storage media and networking enabled the organizations to collect very large volume of information from huge sources. Different data mining techniques are applied on such huge data to extract useful and relevant knowledge. The disclosure of sensitive data to unauthorized parties is a critical issue for organizations which could be most critical problem of data mining. So Privacy preserving data mining (PPDM) has become increasingly popular because it solves this problem and allows sharing of privacy sensitive data for analytical purposes. A lot of privacy techniques were developed based on the k-anonymity property. Because of a lot of shortcomings of the k-anonymity model, other privacy models were introduced. Most of these techniques release one table for research public after they applied on original tables. In this paper the researchers introduce techniques which publish more than one table for organizations preserving individual's privacy. One of this is (α, k) -anonymity using lossy-Join which releases two tables for publishing in such a way that the privacy protection for (α, k)-anonymity can be achieved with less distortion, and the other one is Anatomy technique which releases all the quasi-identifier and sensitive values directly in two separate tables, met l-diversity privacy requirements, without any modification in the original table.
Privacy preserving data mining (PPDM) has become more and more important because it allows sharin... more Privacy preserving data mining (PPDM) has become more and more important because it allows sharing of privacy sensitive data for analytical purposes. A big number of privacy techniques were developed most of which used the k-anonymity property which have many shortcomings, so other privacy techniques were introduced (l-diversity, p-sensitive k-anonymity, (α, k)-anonymity, tcloseness, etc.). While they are different in their methods and quality of their results, they all focus first on masking the data, and then protecting the quality of the data. This paper is concerned with providing an enhanced privacy technique that combines some anonymity techniques to maintain both privacy and data utility by considering the sensitivity values of attributes in queries using sensitivity weights which determine taking in account utility-based anonymization and then only queries having sensitive attributes whose values exceed threshold are to be changed using generalization boundaries. The threshold value is calculated depending on the different weights assigned to individual attributes which take into account the utility of each attribute and those particular attributes whose total weights exceed the threshold values is changed using generalization boundaries and the other queries can be directly published. Experiment results using UT dallas anonymization toolbox on real data set adult database from the UC machine learning repository show that although the proposed technique preserves privacy, it also can maintain the utility of the publishing data.
Web service technology has gained more important role in developing distributed applications and ... more Web service technology has gained more important role in developing distributed applications and systems on the Internet. Rapid growth of published web services makes their discovery more and more difficult. Nowadays, most of web service providers sign Services Level Agreement (SLA) contracts with their clients in order to guarantee the offered functionality of their services. This paper proposes an approach to monitor Quality of Services (QoS) in web service according to Service Level Objectives (SLO) in SLA. Monitoring procedures are introduced to check variations in the pre-agreed metric values of SLAs. Then, the deviation between the actual quality and the acceptable quality level can be identified and analyzed. Finally, the weaknesses of the web service practices can be discovered and solved.
International Journal of Advanced Computer Science and Applications, 2015
Requirements are critical for the success of software projects. Requirements are practically diff... more Requirements are critical for the success of software projects. Requirements are practically difficult to produce, as the hardest stage of building a software system is to decide what the system should do. Moreover, requirements errors are expensive to fix in the later phases of the software development life cycle. The rapidly changing business environment is highly challenging traditional Requirements Engineering (RE) practices. Most of the software development organizations are working in such dynamic environment, as a result, either by or without their awareness agile methodologies are adopted in various phases of their software development cycles. The aim of this paper is to investigate the adherence degree of agile RE practices in various software development organizations that are classifying themselves as adopting traditional (i.e. non-agile) software development methodologies. An approach is proposed for achieving this aim and it is applied on five different projects from four different organizations. The result shows that even the non-agile software development organizations are applying agile RE practices by different adherence degrees.
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Papers by Nagy Darwish