International Journal of Management, IT & Engineering
(ISSN: 2249-0558)
CONTENTS
Sr.
No.
TITLE & NAME OF THE AUTHOR (S)
Page
No.
1
Empirical and Qualitative Studies by Analyzing Requirement Issues In Global Software Development (GSD).
Rabia Sultana, Fahad Jan, Ahmad Mateen and Ahmad Adnan
1-18
2
Challenges and Opportunities of Technology Transfer Management.
Armin Mahmoudi
19-34
3
SMEs Competitive Advantage through Supply Chain Management Practices.
Prof. Gyaneshwar Singh Kushwaha
35-50
4
Different Issue for Handling Different Cache Strategies on Usenet.
Harish Rohil and Jitender Yadav
51-71
5
Power Quality enhancement in MICROGRID (Islanding Mode) by Using ND - MLI DSTATCOM.
M. Manigandan, MIEEE and Dr. B. Basavaraja, SMIEEE
72-90
6
Analysis of Optical Soliton Propagation in Birefringent Fibers.
R. Samba Siva Nayak, Suman. J and Naveen
91-102
7
Human Resource Accounting in IT industry (A study with reference to Infosys Technologies Limited).
Dr. P. Natarajan and Bashar Nawaz
103-123
8
Solving profit based unit commitment problem using single unit dynamic programming.
P.V. Rama Krishna and Dr. Sukhdeo sao
Achieving Optimal DoS Resistant P2P Topologies for Live Multimedia Streaming using Cost function
Algorithm.
A. L.Srinivasulu, S. Jaya Bhaskar, Ms. K. Deepthi and Dr. Sudarson Jena
9
124-146
147-162
10
Quality of Web Sites – A Study On Some Standard Indian Universities.
K. V. N. Prasad and Dr. A. A. Chari
163-182
11
Simulating Complex Environmental Phenomena Using Cubemap Mapping Technique.
Movva. N.V. Kiran Babu, Ch. Siva Rama Krishna, M. Hanumantha Rao and V. Venu Gopal
183-203
12
Data Sharing and Querying in Peer-to-Peer Data management System.
Jyoti Duhan
204-223
13
Secure File Transmission Scheme Based on Hybrid Encryption Technique.
Gaurav Shrivastava
224-238
14
Investigating Flip-Flop Gates Using Interactive Technology.
Mr. Amish Patel, Ms. Neha P. Chinagi and Mr. Hiren R.Raotole
239-255
15
B2B Versus B2C Direct Selling.
Ankit Chadha and Er. Banita Chadha
256-270
16
Application And Implementation of Crm In Hotels of Developing Cities - A Case Study of Ranchi.
Praveen Srivastava, Abhinav Kumar Shandilya and Shelly Srivastava
271-294
17
An Automatic Bacterial Colony Counter.
Ms. Hemlata, Mr. Ashish Oberoi and Mr. Sumit Kaushik
295-309
January
2012
IJMIE
Volume 2, Issue 1
ISSN: 2249-0558
__________________________________________________________
Chief Patron
Dr. JOSE G. VARGAS-HERNANDEZ
Member of the National System of Researchers, Mexico
Research professor at University Center of Economic and Managerial Sciences,
University of Guadalajara
Director of Mass Media at Ayuntamiento de Cd. Guzman
Ex. director of Centro de Capacitacion y Adiestramiento
Patron
Dr. Mohammad Reza Noruzi
PhD: Public Administration, Public Sector Policy Making Management,
Tarbiat Modarres University, Tehran, Iran
Faculty of Economics and Management, Tarbiat Modarres University, Tehran, Iran
Young Researchers' Club Member, Islamic Azad University, Bonab, Iran
Chief Advisors
Dr. NAGENDRA. S.
Senior Asst. Professor,
Department of MBA, Mangalore Institute of Technology and Engineering, Moodabidri
Dr. SUNIL KUMAR MISHRA
Associate Professor,
Dronacharya College of Engineering, Gurgaon, INDIA
Mr. GARRY TAN WEI HAN
Lecturer and Chairperson (Centre for Business and Management),
Department of Marketing, University Tunku Abdul Rahman, MALAYSIA
MS. R. KAVITHA
Assistant Professor,
Aloysius Institute of Management and Information, Mangalore, INDIA
Dr. A. JUSTIN DIRAVIAM
Assistant Professor,
Dept. of Computer Science and Engineering, Sardar Raja College of Engineering,
Alangulam Tirunelveli, TAMIL NADU, INDIA
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Editorial Board
Dr. CRAIG E. REESE
Professor, School of Business, St. Thomas University, Miami Gardens
Dr. S. N. TAKALIKAR
Principal, St. Johns Institute of Engineering, PALGHAR (M.S.)
Dr. RAMPRATAP SINGH
Professor, Bangalore Institute of International Management, KARNATAKA
Dr. P. MALYADRI
Principal, Government Degree College, Osmania University, TANDUR
Dr. Y. LOKESWARA CHOUDARY
Asst. Professor Cum, SRM B-School, SRM University, CHENNAI
Prof. Dr. TEKI SURAYYA
Professor, Adikavi Nannaya University, ANDHRA PRADESH, INDIA
Dr. T. DULABABU
Principal, The Oxford College of Business Management, BANGALORE
Dr. A. ARUL LAWRENCE SELVAKUMAR
Professor, Adhiparasakthi Engineering College, MELMARAVATHUR, TN
Dr. S. D. SURYAWANSHI
Lecturer, College of Engineering Pune, SHIVAJINAGAR
Dr. S. KALIYAMOORTHY
Professor & Director, Alagappa Institute of Management, KARAIKUDI
Prof S. R. BADRINARAYAN
Sinhgad Institute for Management & Computer Applications, PUNE
Mr. GURSEL ILIPINAR
ESADE Business School, Department of Marketing, SPAIN
Mr. ZEESHAN AHMED
Software Research Eng, Department of Bioinformatics, GERMANY
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Mr. SANJAY ASATI
Dept of ME, M. Patel Institute of Engg. & Tech., GONDIA(M.S.)
Mr. G. Y. KUDALE
N.M.D. College of Management and Research, GONDIA(M.S.)
Editorial Advisory Board
Dr. MANJIT DAS
Assistant Professor, Deptt. of Economics, M.C.College, ASSAM
Dr. ROLI PRADHAN
Maulana Azad National Institute of Technology, BHOPAL
Dr. N. KAVITHA
Assistant Professor, Department of Management, Mekelle University, ETHIOPIA
Prof C. M. MARAN
Assistant Professor (Senior), VIT Business School, TAMIL NADU
Dr. RAJIV KHOSLA
Associate Professor and Head, Chandigarh Business School, MOHALI
Dr. S. K. SINGH
Asst. Professor, R. D. Foundation Group of Institutions, MODINAGAR
Dr. (Mrs.) MANISHA N. PALIWAL
Associate Professor, Sinhgad Institute of Management, PUNE
Dr. (Mrs.) ARCHANA ARJUN GHATULE
Director, SPSPM, SKN Sinhgad Business School, MAHARASHTRA
Dr. NEELAM RANI DHANDA
Associate Professor, Department of Commerce, kuk, HARYANA
Dr. FARAH NAAZ GAURI
Associate Professor, Department of Commerce, Dr. Babasaheb Ambedkar Marathwada
University, AURANGABAD
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Prof. Dr. BADAR ALAM IQBAL
Associate Professor, Department of Commerce, Aligarh Muslim University, UP
Dr. CH. JAYASANKARAPRASAD
Assistant Professor, Dept. of Business Management, Krishna University, A. P., INDIA
Technical Advisors
Mr. Vishal Verma
Lecturer, Department of Computer Science, Ambala, INDIA
Mr. Ankit Jain
Department of Chemical Engineering, NIT Karnataka, Mangalore, INDIA
Associate Editors
Dr. SANJAY J. BHAYANI
Associate Professor ,Department of Business Management, RAJKOT, INDIA
MOID UDDIN AHMAD
Assistant Professor, Jaipuria Institute of Management, NOIDA
Dr. SUNEEL ARORA
Assistant Professor, G D Goenka World Institute, Lancaster University, NEW DELHI
Mr. P. PRABHU
Assistant Professor, Alagappa University, KARAIKUDI
Mr. MANISH KUMAR
Assistant Professor, DBIT, Deptt. Of MBA, DEHRADUN
Mrs. BABITA VERMA
Assistant Professor, Bhilai Institute Of Technology, DURG
Ms. MONIKA BHATNAGAR
Assistant Professor, Technocrat Institute of Technology, BHOPAL
Ms. SUPRIYA RAHEJA
Assistant Professor, CSE Department of ITM University, GURGAON
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Title
Quality OF WEB SITES – A STUDY ON SOME
STANDARD INDIAN UNIVERSITIES
Author(s)
K. V. N. Prasad
Dr. A. A. Chari
Assistant Professor
Professor
ITM Business School
Dept. of OR&SQC
Warangal
Rayalaseema University
Kurnool
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Abstract:
The main objective of this study is to investigate the websites of some standard Indian
universities and their accessibility and utility to various users. Thus the main investigation is to
analyze various characteristics connected with these websites to assess the quality. To begin
with, it is attempted to investigate various faults occurring in the websites of 30 universities. The
aim is to focus on these faults (major or minor) and to suggest corrections. The study has in
depth analysis and categorizing the vital few major and minor faults which contribute to the
confusion and wasting of precious time of users. The study is based on “Pareto principle “. The
modules of the university web sites studied are various departments, courses offered, admission,
administration, libraries, faculties etc.
KEYWORDS: Indian Universities, Pareto principle, Service quality, Websites.
INTRODUCTION:
WEB is a computer programming system created by Donald Knuth as the first implementation
of which is called a ”literate programming”: the idea that one could create software has works of
literature, by embedding source code inside descriptive test. In the present days the internet has
quietly become the body of the business world with Web Applications as brain. The quality
attributes of Web Application include reliability, availability, interoperability and security. The
growth of internet users was multiplied year by year since 1990s.
Web consists of two primary programs:
(1)TANGLE which produce compliable code from source text.
(2)WEAVE of which produces nicely formatted printable documentation.
Definition of web site:
A web site is a collection of web pages containing text, images, audio and videos. The
complete structure of the internet is made up of websites a mode of sharing information on the
A Monthly Double-Blind Peer Reviewed Refereed Open Access International e-Journal - Included in the International Serial Directories
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internet. Web sites are designed and developed for a wide variety of organizations in areas such
as education, business, research, web banking, stock exchange on the web, web games.
Introduction to Web Applications: Web Applications are software programs that operate on
internet, interacting with user through Web Browser. The organization of Web Application is
divided into three tiers. They are Web Browser, Web Server and Database Server. The
information in the application is processed tier by tier. The user interacts through Web Browser,
programming logic is performed in Web Server and database operations are completed in
Database Server. Hence Web Application model is known as Three-Tier application architecture.
All these tiers are communicated through HTTP protocol.
Web Browser: The Web Browser is capable of retrieving requested hypertext documents from
the Web Server via HTTP protocol. The browser also embeds a Java Virtual Machine and
JavaScript interpreter to execute the Java Applets or JavaScript’s specified in the documents.
Additional information processors such as Active X Controls are also embedded in the browser
to extend its functionality.
Web Server: The contents of Web Applications (HTML documents, image files or program) are
stored in Web Server. An HTTP protocol is placed at the Web Server to accept HTTP requests
from the browsers. According to the Web Server’s configuration, it may forward a request to
i. The document retriever serving stored HTML documents, Java Applets or multimedia files
ii. The other information processors on the Web Server such as CGI programs for dynamically
generated HTML documents and contents.
Database server: Database access interfaces such as ODBC (Open Database
Connectivity) and JDBC (Java Database Connectivity) are used to connect Web applications
with database servers. The communication between Web Application components may also flow
through plain TCP sockets, Java RMI (Remote Method Invocation) or CORBA (Common Object
Request Broker Architecture).
A Monthly Double-Blind Peer Reviewed Refereed Open Access International e-Journal - Included in the International Serial Directories
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Methodology:
The World Wide Web consortium (W3C) a non profitable organization developed for setting or
evolving the web standards under the chairmanship of inventor of web Sir Tim Berners-Lee.
Thus the web application needs to oblige certain standard for the utility of the users. Therefore in
this study a pilot survey of some universities web sites were considered to evolve quality norms
of the web sites for the better accessibility criteria. Basically in this study it is motivated to
consider few university web sites for verification and assurance of the quality in order to see the
utility and accessibility of them to the end users. In this connection 30 web sites of the
universities are investigated during October
and December 2007.These university webs
accessibility was evolved using world wide web consortium (W3C) guide lines and found the
information such as faults in web pages which are categories as minor and major, the average
down time per page of the web site etc. The data was collected on the 30 universities and
tabulated and seen in table 1
The World Wide Web (W3C) defines a set of guidelines for quality web design. Some of the
important guidelines are as follows.
Provide a text equivalent for every non-text element
Do not relay on color schemes only.
Use mark up and style sheets instead of images to convey information.
Clearly mention the text information of web page with natural language.
Use tables properly in the web document.
Ensure that web pages featuring new technologies transform gracefully.
Ensure user control of time sensitive content changes.
Ensure direct accessibility of embedded user interface.
Design of device—independence.
Provide context orientation information.
Provide clear navigation mechanisms.
Ensure that documents are clear and simple.
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DATA & ANALYSIS:
During the investigation of web application the following characteristics are collected
a.
No. Of pages of website
b.
Total size of web sites ( kbs )
c.
Total down time (sec per kbs)
d.
Total no. Of faults (minor and major)
e.
No. Of broken links
f.
Average no. of faults per web page
g.
Average size in each web page (kbs)
h.
Average down time per page
Table.1: Detailed information of web sites using W3C guide lines on some important
characteristics.
S.No
University name
Acharya
1 University
web site
(a)
(b)
(c) (d) (e) (f)
(g)
(h)
Nagarjuna
www.nagarjunauni.org 115 7176402 1987 4395 31 38.22 62403.5 17.28
2 Alagappa University
www.alagappauni.ac.in 127 8272036 2290 4216 36 33.19 65134.14 18.03
3
www.annuni.edu
117 6187357 1713 2145 21 18.33 52883.39 14.64
4 Assam University
www.assamuni.in
58 3197361 885 3689 23 63.6 55126.91 15.26
5 Bangalore University
www.bub.ernet.in
659 18297162 5065 19555 117 29.67 27765.04 7.686
6 Bharathidasan University
www.bdu.ac.in
159 7263910 2011 4596 38 28.91 45684.97 12.65
7 Bharatiar University
www.b-u.ac.in
182 7571965 2096 5568 29 30.59 41604.2 11.52
Guru
8 University
www.giu.ernet.in
101 5112758 1415 4685 31 46.39 50621.37 14.01
9 I.G.N.open university
www.ignou.ac.in
252 9881675 2736 4573 56 18.15 39213 10.86
10 J.N.T.university
www.jntu.ac.in
91 5663958 1568 3885 28 42.69 62241.3 17.23
www.jnu.ac.in
224 8749265 2422 8894 67 39.71 39059.22 10.81
www.kakatiya.ac.in
182 7928718 2195 6584 56 36.18 43564.38 12.06
Anna university
Jambeshwar
Jawaharlal
11 University
Nehru
12 Kakatiya University
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13 University of Kerala
www.keralauni.edu
175 7762891 2149 5839 65 33.37 44359.38 12.28
14 Mangalore university
www.mangalore.ac.in 192 8256715 2286 6428 45 33.48 43003.72 11.91
15 Mumbai University
www.mu.ac.in
209 8528175 2361 6892 47 32.98 40804.67 11.3
16 Nagpur University
www.nagpuruni.org
155 6872167 1902 5481 67 35.36 44336.56 12.27
17 North Bengal University
www.nbu.ac.in
208 8321769 2304 5619 32 27.01 40008.5 11.08
18 North Gujarat University
www.ngu.ac.in
268 9528179 2638 5896 43
North
19 University
www.nmu.ac.in
97 5808462 1608 4017 28 41.41 59881.05 16.58
20 Osmania University
www.osmania.ac.in
283 9864729 2731 5789 28 20.46 34857.7 9.65
21 Pondichery University
www.pondiuni.org
229 9521763 2636 2299 11 10.04 41579.75 11.51
Punjab
22 University
www.ptu.ac.in
113 5607321 1552 3489 43 30.88 49622.31 13.73
23 Rajiv Gandhi University
www.rgu.ac.in
157 6082654 1684 5389 48 34.32 38743.02 10.73
24 R.S.Vidyapeetha
http://rsvuni.ac.in
63 3287466 910 2407 29 38.21 52182 14.44
22 35552.91 9.843
Maharashtra
Technological
Sri
krishnadevaraya
25 University
www.skuni.org
92 6173292 1709 3544 34 38.52 67101 18.58
Sri
26 University
www.svuni.in
119 6248216 1730 3879 37 32.6 52506.02 14.54
27 University of Calcutta
www.caluni.ac.in
140 6478258 1793 4263 45 30.45 46273.27 12.81
28 University of Delhi
www.du.ac.in
489 12846398 3556 18266 87 37.35 26270.75 7.272
29 University of Hyderabad
www.uohyd.ernet.in
183 7826493 2167 4814 17 26.31 42767.72 11.84
30 University of Mysore
www.uni-mysore.ac.in 166 6483965 1795 4612 36 27.78 39060.03 10.81
Venkateswara
Pareto analysis – A detailed study on various faults occurring in some Universities web sites:
Utilizing the data collected and seen in the table.1, Pareto analysis is carried and evolved the
vital few major and minor and also trivial many major and minor design faults that are
occurring in web pages reason wise & University wise respectively and tabulated and seen in
tables 2 to 7.
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Table .2: Minor web design faults reason wise in various web sites of 30 universities
S. No
Code
Reason of fault
No. of. faults
1
A
Table Tag
50526
2
B
Body Tag
16216
3
C
Image
23106
4
D
Frame
4585
5
E
Head Tag
5806
6
F
Font Tag
14160
7
G
Script
12635
8
H
Style
1867
9
I
Form Tag
4833
10
J
Link Tag
1312
11
K
Others Tag
10409
Table.3: Pareto analysis of Minor Web site faults – Reason wise:
# faults
Cumulative
faults
Cumulative
Relative faults
Cumulative
faults
Percentage
Table Tag
50526
50526
0.3474
34.737
C
Image
23106
73632
0.5062
50.622
3
B
Body Tag
16216
89848
0.6177
61.77
4
I
Font Tag
14160
104008
0.7151
71.505
5
G
Script
12635
116643
0.8019
80.192
6
K
Other Tag
10409
127052
0.8735
87.348
7
E
Head Tag
5806
132858
0.9134
91.34
8
I
Form Tag
4833
137691
0.9466
94.662
9
D
Frame
4585
142276
0.9781
97.814
10
H
Style
1867
144143
0.991
99.098
11
J
Link Tag
1312
145455
1
100
S.
No
Code
1
A
2
Reason of
fault
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Cumulative Minor faults
Percentage
Minor Faults in various University websites
100.0000
80.0000
60.0000
40.0000
20.0000
0.0000
1
3
2
6
7 11 5
9
4
8 10
Reason of Minor Faults
Fig.3 -- Minor faults in various University websites – Reason wise
Table.4: Major web design faults in various web sites of 30 universities – Reason wise:
S. No Code Reason of fault
No .of. faults
1
A
Title tag
4101
2
B
Document Applet
5234
3
C
Frames Tag
3896
4
D
Connectivity
1993
5
E
User Server
3352
6
F
Broken Linkage
1367
7
G
Image load
5052
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Table.5: Pareto analysis of Major Web site faults – Reason wise:
Cumulative
Cumulative Cumulative
S. No Code Reason of faults # faults faults
relative faults faults percentage
1
B Document
Applet
5234
5234
0.209402
20.94019
2
G Image Load
5052
10286
0.411522
41.15223
3
A Title Tag
4101
14387
0.575595
57.55951
4
C Frames Tag
3896
18283
0.731466
73.14663
5
E User Server
3352
21635
0.865573
86.55731
6
D Connectivity
1993
23628
0.945309
94.53091
7
F
1367
24995
1
100
Broken Linkage
Major Faults in various University websites
Cumulative Major Errors
Percentage
120
100
80
60
40
20
0
1
2
3
5
Reason
of4Major Faults
6
7
Fig.4 - Major faults in Various University websites – Reason wise
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Minor Faults in various university websites
cummulative minor faults
percentage
120
100
80
60
40
20
29
27
25
23
21
19
17
15
13
11
9
7
5
3
1
0
Universities
Fig.5 – Minor faults in various web sites – University wise
Table 6: Pareto Analysis on minor faults in 30 web sites - University wise:
S.No
University
# minor Cumulative Relative
faults minor faults minor faults
Cumulative
percentage of
minor faults
1 University Of Hyderabad
15084
15084
0.1069
10.69
2 Bangalore University
13385
28469
0.2018
20.17
3 Jawaharlal Nehru University
7716
36185
0.2564
25.64
4 Nagpur University
5872
42057
0.298
29.8
5 Mumbai University
5494
47551
0.337
33.69
6 Mangalore University
5219
52770
0.374
37.39
7 Pondichery University
5135
57905
0.4104
41.033
8 North Gujarat University
5087
62992
0.4464
44.64
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9 Rashtriya Sanskrit Vidyapeetha
4978
67970
0.4817
48.17
10 North Maharashtra University
4947
72917
0.5167
51.67
11 Bharatiar University
4915
77832
0.5516
55.15
12 Kakatiya University
4667
82499
0.5846
58.46
13 North Bengal University
4633
87132
0.6175
61.74
14 University of Mysore
4106
91238
0.6466
64.657
15 University of Kerala
4059
95297
0.6753
67.534
16 Indira Gandhi national Open University
4055
99352
0.7041
70.407
17 Bharathidasan University
3959
103311
0.7321
73.213
18 Guru Jambeshwar University
3936
107247
0.76
76.002
19 University of Delhi
3614
110861
0.7856
78.56
20 Acharya Nagarjuna University
3258
114119
0.8087
80.87
21 Jawaharlal Nehru Technological
3248
117367
0.8317
83.17
22 University of Calcutta
3242
120609
0.8547
85.47
23 Osmania University
3127
123736
0.8769
87.68
24 Alagappa University
3078
126814
0.8987
89.86
25 Assam University
3063
129877
0.9204
92.04
26 Sri Venkateswara University
2980
132857
0.9415
94.15
27 Rajeev Gandhi University
2886
135743
0.962
96.19
28 Anna university
1910
137653
0.9755
97.55
29 Sri krishnadevaraya University
1864
139517
0.9887
98.87
30 Punjab Technological University
1593
141110
1
100
Total
141110
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Table .7: Pareto Analysis on major faults in 30 web sites – University wise
S. No
University
Cumulative Cumulative
Cumulative Relative
faults
faults
# faults
faults
percentage
1
University of Delhi
3182
3182
0.1273
12.73055
2
Mumbai University
1917
5099
0.204
20.40008
3
Mangalore University
1178
6277
0.2511
25.11302
4
Assam University
1138
7415
0.2967
29.66593
5
Anna university
1137
8552
0.3421
34.21484
6
Pondichery University
949
9501
0.3801
38.0116
7
North Bengal University
934
10435
0.4175
41.74835
8
North Gujarat University
934
11369
0.4549
45.4851
9
Punjab Technological University
890
12259
0.4905
49.04581
10
North Maharashtra University
848
13107
0.5244
52.43849
11
University of Kerala
755
13862
0.5546
55.45909
12
Jawaharlal Nehru Technological
749
14611
0.5846
58.45569
13
Rashtriya Sanskrit Vidyapeetha
706
15317
0.6128
61.28026
14
Rajeev Gandhi University
654
15971
0.639
63.89678
15
Bharatiar University
653
16624
0.6651
66.5093
16
Indira Gandhi national Open University
653
17277
0.6912
69.12182
17
University of Hyderabad
649
17926
0.7172
71.71834
18
Guru Jambeshwar University
637
18563
0.7427
74.26685
19
Kakatiya University
637
19200
0.7682
76.81536
20
University of Calcutta
637
19837
0.7936
79.36387
21
Bharathidasan University
626
20463
0.8187
81.86837
22
Nagpur University
620
21083
0.8435
84.34887
23
Sri krishnadevaraya University
603
21686
0.8676
86.76135
24
Alagappa University
564
22250
0.8902
89.0178
25
Acharya Nagarjuna University
543
22793
0.9119
91.19024
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26
Osmania University
532
23325
0.9332
93.31866
27
Jawaharlal Nehru University
518
23843
0.9539
95.39108
28
University of Mysore
506
24349
0.9742
97.41548
29
Sri Venkateswara University
411
24760
0.9906
99.05981
30
Bangalore University
235
24995
1
100
Total
24995
120
100
80
60
40
20
28
25
22
19
16
13
10
7
4
0
1
cummulative major faults
percentage
Major Faults in various university websites
Universities
Fig.6 .Major faults in Web sites – University wise:
Conclusion and observations:
This study concerned with observing and analyzing the occurrence of different web design faults
reason wise in the pages of University web sites using standard web tools W3C and Pareto
principle.
(1) It is observed that 11 minor faults and 7 major faults are occurring in the various
university web sites.
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(2) Among these faults it is further found from Pareto principle that 4 minor faults namely
Table Tag
Image
Body Tag
Font Tag
are found to be the vital and occurring with high intensity say 70% among the total faults. Thus
these are the reasons vital few to contribute majority of the faults. Further the other 7 minor
reasons are occurring with just 30% of the total faults are hence treated to be trivial many. Thus
the 4 minor faults which are indicated above are vital reasons few to be attend to do away with
them. The web designer in general is suggested to consider necessary remedial action in order to
reduce them to a minimal level. Of course, this would improve considerably the web sites, so
that they become more versatile and accessible to the satisfaction of the users with lowest quality
of down time.
(3) Similarly it is found that three major faults namely
Document Applet
Image Load
Title Tag
Committed predominantly by the web designers, which appear almost with 60% intensity.
Therefore it is felt that these three major faults are treated to be vitals need much attention to
review the design these web sites. This can improve the utility and accessibility of these web
sites in a way the down time per page may significantly get improved.
(4)
Also the study analyses the occurrence of faults in web sites universities wise. Thus it is
observed that approximately 50% of total Universities considered for the study have accounted
70% of major and minor faults. The list of such universities is seen in S.NO 1 to 16 of table 6 & 7.
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(5) The Universities sited in the list are those, which are contributing more no. of minor and
major faults. Therefore it is suggested that these Universities shall make note of the fact and
review the respective web sites in order to remove the so called major and minor faults occurring
in these sites. This would bring check their University web sites to be better utility and
accessibility to the users.
REFERENCES:
(1988), Juran , Quality control hand book, Tata McGraw-Hill, Newark
(1980). Juran , Quality planning and Analysis, Tata McGraw-Hill, Newark
Techniques for web content accessibility guidelines by W3C,
http://www.w3.org/TR/WCAG10-TECHS.
HTML techniques for web content accessibility guidelines by W3C,
http://www.w3.org/TR/WCAG10- HTML-TECHS.
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