Journal of

STM JOURNALSScientific Technical Medical

(JoWET)Jan -April 2014

Web Engineering & Technology

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Journal of Web Engineering & Technology

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Group Managing Editor Dr. Archana Mehrotra

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Puneet Pandeya

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Dr. Bimlesh Lochab

Industrial Tribology Machine Dynamics & Maintenance

Engineering Centre (ITMMEC)

Indian Institute of Technology Delhi, India.

Prof. S. Ramaprabhu

Alternative Energy Technology Laboratory,

Department of Physics,

Indian Institute of Technology, Chennai, India.

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School of Materials Science and Technology,

Institute of Technology, Banaras Hindu University,

Varanasi, India.

Dr. Rakesh Kumar

Assistant Professor, Department of

Applied Chemistry, BIT Mesra,

Patna, India.

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Gargi Asha Jha

Nupur Anand

Priyanka Aswal

Sona Chahal

STM Journal (s) Advisory Board

Dr. Ashish RunthalaLecturer, Biological Sciences Group,

Birla Institute of Technology & Science, Pilani Rajasthan, India.

Dr. Baldev RajDistinguished Scientist & Director,

Indira Gandhi Centre for Atomic Research

(ICGAR)Kalpakkam, India.

Dr. Baskar KaliyamoorthyAssociate Professor, Department

of Civil Engineering National Institute of Technology Trichy, India.

Prof. Bankim Chandra RayProfessor and Head, Department of

Metallurgical and Materials Engineering National Institute of Technology,

Rourkela, India.

Prof. D. N. Rao Professor, Department of Biochemistry,

AIIMS, New Delhi, India.

Prof. Jugal KishoreProfessor, Department of Community

Medicine, Maulana Azad Medical College, New Delhi, India.

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Pune, India.

Dr. Hardev Singh VirkProfessor Emeritus, Eternal

University, Baru Sahib, India.

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National Brain Research Centre, Manesar, India.

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Pathology, KLE Society's Institute of Dental Sciences, Bangalore, India.

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Engineering Department, NIT, Rourkela, India.

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Indian Institute of Technology Madras, India.

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Nurture Earth R&D Pvt LtdMIT Campus, Beed bypass road,

Aurangabad, India.

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Department of Applied Chemistry, BIT Mesra, Patna, India.

Dr. Priyavrat TharejaHead, Materials and Metallurgical

Engineering department, PEC University of Technology,

Chandigarh, India.

STM Journal (s) Advisory Board

Editorial Board

Dr. S. R. BalasundaramAssociate Professor in the Department of

Computer ApplicationsDoctorate in “E-Learning and Assessment”

from NIT, Trichy.

Dr. V. K. GovindanProfessor in Computer science and engineering, and Dean Academic

Kerala, India.

Dr. Gaurav KumarFounder, Managing Director

Magma Research and Consultancy Pvt. Ltd.Ambala Cantt., Haryana, India.

Dr. Georgios LepourasAssociate Professor Department

of Informatics and TelecommunicationsUniversity of Peloponnese.

Dr. Valentina JanevSenior Researcher at the Mihajlo Pupin

InstituteUniversity of Belgrade, Serbia.

Dr. N. P. GopalanProfessor at National institute of Trichy

India.

I take the privilege to present the print version for the [Volume 1 Issue (1)] of Journal of Web

Engineering & Technology. The intension of JoWET is to create an atmosphere that stimulates

creativeness, research and growth in the area of Web Engineering.

The development and growth of the mankind is the consequence of brilliant Research done by

eminent Scientists and Engineers in every field. JoWET provides an outlet for Research findings and

reviews in areas of Web Engineering found to be relevant for National and International recent

developments & research initiative.

The aim and scope of the Journal is to provide an academic medium and an important reference for

the advancement and dissemination of Research results that support high level learning, teaching and

research in the domain of Web Engineering.

Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for

their continued support and invaluable contributions and suggestions in the form of authoring write

ups/ reviewing and providing constructive comments for the advancement of the journals. With

regards to their due continuous support and co-operation, we have been able to publish quality

Research/Reviews findings for our customers base.

I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra

Director

STM Journals

Director's Desk

STM JOURNALS

1. An Evolution of the Pixel Embedding Techniques in Image Based Adaptive Steganography Naresh Babu MM, Chakravarthy ASN, Ravindranath CC 1

2. An Implementation of Maintaining Database and Generating Report using K-Means Algorithm Prashant P. Kulkarni, Dipali H. Patil, Akshata V. Ghodke, Tejashri S. Pansare, Javed I. Tamboli 19

3. Optimized Test Suites with Small Code Coverage in Software TestingB V V Anusha, A.Vanathi 24

4. Pattern Discovery for Text MiningRavindra Changala, D Rajeswara Rao, Vidyullatha P, Annapurna Gummadi 28

ContentsJournal of Web Engineering & Technology

JoWET (2014)© STM Journals 2014. All Rights Reserved

Journal of Web Engineering & Technology

Volume 1, Issue 1

www.stmjournals.com

An Evolution of the Pixel Embedding Techniques in Image

Based Adaptive Steganography

Naresh Babu MM1*, Chakravarthy ASN

2, Ravindranath CC

3

1JNTUK, CSE Department Kakinada, Kakinada, AP-533003, India

2UCEV, JNTUK, CSE Department, Dwarapudi, Vizianagaram, AP-535003, India

3GGITM, EE Department, Raisen Road, Anand Nagar, Bhopal, MP-462021, India

Abstract The word “Steganography” was basically derived from the Greek words with the

meaning “covered writing.” This paper presents some of the main adaptive image

steganography approaches. Many algorithms have been presented; in almost all the algorithms the approach is to embed the secret data in the images. Here we are

discussing about adaptive steganography which is based upon spatial domain and frequency domain with an additional layer of mathematical model. The embedding and

extracting processes of the algorithms have been discussed

General Terms: Adaptive steganography, security, image processing

Keywords: Substitution techniques, human visual system (HVS), discrete cosine

transform (DCT), integer wavelet transforms, BPCS (bit-plane complexity

steganography), adaptive least-significant-bit (LSB) substitution, pixel-value

differencing (PVD), image contrast; mod-4embedding, HVS features, least-

significant- bit (LSB), adaptive pixel pair matching (APPM)

JoWET (2014)© STM Journals 2014. All Rights Reserved

Journal of Web Engineering & Technology

Volume 1, Issue 1

www.stmjournals.com

An Implementation of Maintaining Database and

Generating Report using K-Means Algorithm

Prashant P. Kulkarni, Dipali H. Patil, Akshata V. Ghodke,

Tejashri S. Pansare, Javed I. Tamboli* Department of Information Technology, Rajarshi Shahu College of Engineering, Pune, India

Abstract This is a sponsored project from Electronics Testing and Development Center (ETDC), a

government organization which works under Standardization Testing and Quality

Certification (STQC), Government of India, and provides quality assurance services in the area of electronics and IT through countrywide network of laboratories and centers.

Automation of testing and calibration of electronic instruments will assist ETDC in providing these services in a better way by generating report and maintaining history of

customer and electronic instruments on web-based paperless system. For generating

report, the authors have applied data-mining algorithm as k-means algorithm.

Keywords: K-means algorithm, data mining

JoWET (2014)© STM Journals 2014. All Rights Reserved

Journal of Web Engineering & Technology

Volume 1, Issue 1

www.stmjournals.com

Optimized Test Suites with Small Code Coverage

in Software Testing

B V V Anusha*, A.VanathiIT Department, Aditya Engineering College, Surampalem, Kakinada,

East Godavari (Affiliated to JNTUK)

Abstract A common scenario in software testing is to test the data is to be generated and tester manually adds test oracles.It meausured using code coverage and fundamental

problemwith common apporach is coverage the goals and how an of them are feasible.

In this whole test suites are evovled covering all goals at same time.Its effectiveness not added by number of infeasible targets in code.It has a novel approach in approach

Evosuote Tool and it achieved upto 188 times branch coverage in traditional approach

targeting single branch strategy with upto 62% samaller test suites.In software testing many testsuites are used to debug a program to over come the testsuites Evosuite Tool

was implemented tocoverage goala as well as But the problem is targeting one coverage goal at a time is not feasible and code coverage is also high. In order to overcome this

problem generating new test suites with the help of Evosuite tool which covering all

coverage goals as well as coverage code is small.

Keywords: Search based software engineering, branch coverage, infeasible goal,

collateral coverage genetic algorithm.

JoWET (2014) © STM Journals 2014. All Rights Reserved

Journal of Web Engineering & Technology

Volume 1, Issue 1

www.stmjournals.com

Pattern Discovery for Text Mining

Ravindra Changala*, D Rajeswara Rao, Vidyullatha P, Annapurna Gummadi

KL University, CSE Department, Vijayawada, India

Abstract Text mining refers to the process of extracting interesting, non-trivial information and

knowledge from unstructured text. The challenging issue is to find accurate cognition or

characteristics in text documents to help users to find what they want. Many term-based methods solved this but later suffered from the problems of polysemy and synonymy

where polysemy means a word has multiple meanings and synonymy is multiple words having the same meaning. Later phrase-based approaches served well, as phrases may

carry more “semantics” like information. The performance of it decreases due to phrases

having inferior statistical properties to terms, low frequency of occurrence, and large numbers of redundant and noisy phrases among them. To overcome this pattern mining-

based approaches have been proposed, which include the concept of closed sequential

patterns, and pruned non-closed patterns. These pattern mining-based approaches worked with effectiveness. The contradiction is people think pattern-based approaches

are significant alternative, but less improvements is made for the effectiveness compared with term-based methods.

Keywords: Text mining, closed sequential patterns, pruned non-closed patterns,

taxonomy discovery model, term based, phrase based