Development Of Test Data Navigator Tool (TDN)

This project, titled "Development Test Data Navigator Tool (TDN)", aims to employ a solid tool strategy, which can deliver time savings and, eventually, cost savings by almost getting rid of the manual activity involved in determining, transforming, setting up, and maintaining test data se...

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Main Author:	Perumal, Usha Nantini
Format:	Thesis
Language:	English English
Published:	2016
Subjects:	Q Science (General) QA76 Computer software
Online Access:	http://eprints.utem.edu.my/id/eprint/20774/1/Development%20Of%20Test%20Data%20Navigator%20Tool%20%28TDN%29%20-%20Usha%20Nantini%20Perumal%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20774/2/Development%20Of%20Test%20Data%20Navigator%20Tool%20%28TDN%29%20-%20Usha%20Nantini%20Perumal.pdf
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id	my-utem-ep.20774
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	Q Science (General) QA76 Computer software
spellingShingle	Q Science (General) QA76 Computer software Perumal, Usha Nantini Development Of Test Data Navigator Tool (TDN)
description	This project, titled "Development Test Data Navigator Tool (TDN)", aims to employ a solid tool strategy, which can deliver time savings and, eventually, cost savings by almost getting rid of the manual activity involved in determining, transforming, setting up, and maintaining test data sets. The Test Data Navigator Tool (TDN) is a mechanism for tracking the records of Standard Test Data Format (STDF) log files as well as CAMSTAR test summaries, and determining the aberrations of the records and the availability of data. The TDN is formulated using Microsoft Visual Studio and the Visual Basic (vb.net) programming language. The system essentially has two kinds of modules which aid in mining a test data location by means of the file transfer process logging: search record module, and export and save module. The TDN tool emphasises on addressing two critical issues in case involvement of additional resources and the average time for resolving a missing test data or summary problem. Through this mechanism, the procedure of tracking the record of a single lot or multiple lots becomes quite easier, facilitated by the click of a mouse. This tool offers user-friendly data entry with features such as a list box, checkbox and dropdown button menu for making the entry of inputs simpler to comprehend and use. The project has three objectives: (i) To study and scrutinise the gaps in the present data searching approach utilising time study; (ii) To introduce and formulate a fresh framework for enhancing the present data searching approach; (iii) To carry out a usability study and substantiate the formulated framework. For accomplishing the first objective, time study and brainstorming have been employed. A feasibility study was then carried out pertaining to TDN development concepts such as project theory, fact-finding, and old system study analysis as well as literature review to formulate a fresh framework. Lastly, a tool assessment was carried out after the framework was completed.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Perumal, Usha Nantini
author_facet	Perumal, Usha Nantini
author_sort	Perumal, Usha Nantini
title	Development Of Test Data Navigator Tool (TDN)
title_short	Development Of Test Data Navigator Tool (TDN)
title_full	Development Of Test Data Navigator Tool (TDN)
title_fullStr	Development Of Test Data Navigator Tool (TDN)
title_full_unstemmed	Development Of Test Data Navigator Tool (TDN)
title_sort	development of test data navigator tool (tdn)
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Manufacturing Engineering
publishDate	2016
url	http://eprints.utem.edu.my/id/eprint/20774/1/Development%20Of%20Test%20Data%20Navigator%20Tool%20%28TDN%29%20-%20Usha%20Nantini%20Perumal%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20774/2/Development%20Of%20Test%20Data%20Navigator%20Tool%20%28TDN%29%20-%20Usha%20Nantini%20Perumal.pdf
_version_	1747834003037093888
spelling	my-utem-ep.207742021-10-08T16:56:52Z Development Of Test Data Navigator Tool (TDN) 2016 Perumal, Usha Nantini Q Science (General) QA76 Computer software This project, titled "Development Test Data Navigator Tool (TDN)", aims to employ a solid tool strategy, which can deliver time savings and, eventually, cost savings by almost getting rid of the manual activity involved in determining, transforming, setting up, and maintaining test data sets. The Test Data Navigator Tool (TDN) is a mechanism for tracking the records of Standard Test Data Format (STDF) log files as well as CAMSTAR test summaries, and determining the aberrations of the records and the availability of data. The TDN is formulated using Microsoft Visual Studio and the Visual Basic (vb.net) programming language. The system essentially has two kinds of modules which aid in mining a test data location by means of the file transfer process logging: search record module, and export and save module. The TDN tool emphasises on addressing two critical issues in case involvement of additional resources and the average time for resolving a missing test data or summary problem. Through this mechanism, the procedure of tracking the record of a single lot or multiple lots becomes quite easier, facilitated by the click of a mouse. This tool offers user-friendly data entry with features such as a list box, checkbox and dropdown button menu for making the entry of inputs simpler to comprehend and use. The project has three objectives: (i) To study and scrutinise the gaps in the present data searching approach utilising time study; (ii) To introduce and formulate a fresh framework for enhancing the present data searching approach; (iii) To carry out a usability study and substantiate the formulated framework. For accomplishing the first objective, time study and brainstorming have been employed. A feasibility study was then carried out pertaining to TDN development concepts such as project theory, fact-finding, and old system study analysis as well as literature review to formulate a fresh framework. Lastly, a tool assessment was carried out after the framework was completed. 2016 Thesis http://eprints.utem.edu.my/id/eprint/20774/ http://eprints.utem.edu.my/id/eprint/20774/1/Development%20Of%20Test%20Data%20Navigator%20Tool%20%28TDN%29%20-%20Usha%20Nantini%20Perumal%20-%2024%20Pages.pdf text en public http://eprints.utem.edu.my/id/eprint/20774/2/Development%20Of%20Test%20Data%20Navigator%20Tool%20%28TDN%29%20-%20Usha%20Nantini%20Perumal.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=104904 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering 1. Archer, P.,2009. Personalized Access to Cultural Heritage Space. Project sponsored by European Union. Grant agreement number: ICT-2009-270082. 2. 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International Journal of Computer Applications, 1(12). pp.30–35. 14. McMurtrey, M., 2013. A case study of the application of the systems development life cycle (sdlc) in 21st century health care: Something old, something new?. Journal of the Southern Association for Information Systems, 1(1). 15. Munassar, N.M.A. and Govardhan, A., 2010. A comparison between five models of software engineering. IJCSI, 5, pp.95-101. 16. Nielsen, J. and Molich, R., 1990, March. Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 249-256). ACM. 17. Graham, P., Nelson, B. and Hutchings, B., 2001, March. Instrumenting bitstreams for debugging FPGA circuits. In Field-Programmable Custom Computing Machines, 2001. FCCM'01. The 9th Annual IEEE Symposium on (pp. 41-50). IEEE. 18. Isaias, P. and Issa, T., 2015. High level models and methodologies for information systems. New York: Springer. 19. Pressman, R.S., 2001. Software engineering: theory and practice. Prentice Hall, USA. 20. Paygude, P. and Devale, P.R., 2013. Automated data validation testing tool for data migration quality assurance. Int J Mod Eng Res, 3, pp.599-603. 21. Rahmany, N.,2012. The differences between life cycle models—Advantages and disadvantages. Available at:http://narbit.wordpress.com/2012/06/10/the-differences-between-life-cycle-models advantages-and-disadvantages/[Accessed on 12October 2016]. 22. Ratcliffe, A., 2011. SAS Software Development with the V-Model. Ratcliffe Technical Services Limited (RTSL). eu, United Kingdom. 23. RathikaV. andArcokiam. L., 2014, Automated Data Validation Framework for Data Quality in Big Data Migration Projects, SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE), 1(10), pp.15-23. 24. Ridley, M., 2006. Requirement analysis and specification Guide (Crocus Information Limited, Devon, UK). 25. Royce, W.W., 1970, August. Managing the development of large software systems. In proceedings of IEEE WESCON, 26(8), pp. 1-9. 26. Sabale, R.G. and Dani, A.R., 2012. Comparative study of prototype model for software engineering with system development life cycle. IOSR Journal of Engineering, 2(7), pp.21-24. 27. Silwattananusarn, T. and Tuamsuk, K., 2012. Data mining and its applications for knowledge management: a literature review from 2007 to 2012,arXiv preprint arXiv: 1210.2872,pp. 15–23 28. Society for Risk Analysis (SRA). 2002. Available at:https://acc.dau.mil/CommunityBrowser.aspx?id=17607[Accessed on 28 September 2016]. 29. Sommerville, I., 2011. Software engineering. Pearson. 30. Spriestersbach, A., 2009. Component Design and Open Specification (Resource development and Management), Seventh Framework Program. FPF-ICT-2009-5. A research sponsored by the European Union. 31. Tilloo, R., 2013. What is incremental model in software engineering,Available at:http://www:Technotrice.com/incremental-model-in-software-engineering[Accessed on 18October 2016]. 32. Vishnu, B., Manjunath, T.N. and Hamsa, C., 2014. An Effective Data Warehouse Security Framework. pp. 33–37. 33. Vitthal, S.A., Baban, T.V., Warade, R. and Chaudhari, K., 2013. Data Migration System in Heterogeneous Database. International Journal of Engineering Science and Innovative Technology (IJESIT), 2(2), pp. 88–92. 34. Wang, R.Y., Storey, V.C. and Firth, C.P., 1995. A framework for analysis of data quality research. IEEE transactions on knowledge and data engineering, 7(4), pp.623-640. 35. Williams, L. and Upchurch, R., 2001. Extreme programming for software engineering education? In Frontiers in Education Conference, 2001. 31st Annual (Vol. 1, pp. T2D-12). IEEE.

Development Of Test Data Navigator Tool (TDN)

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