ISSN: 2222-6990
Open access
Software maintenance is an important activity in software development lifecycle. Any changes during the maintenance phase have impact on cost and time. Thus, to minimize cost and time, a test effort estimation is crucial. This research will produce an automate tool that can help the software manager or a maintainer to search for the coverage artefact before and after a changes request. Software quality engineer can determine the test coverage from new changes which can support in cost estimation, effort and schedule estimation. In an ongoing research project, we are developing software traceability model with test effort estimation. In this paper we described the development methodology which includes 3 major phases: requirement analysis, design and development, and finally the usability analysis of the proposed model.
Abduljabbar, Z. (2015). Personnel Selection Using A Fuzzy Delphi Method. Electronic Scientific Journal. APRIORI. SERIES: natural sciences and engineering,3(31), 1-15.
Adler, M., & Ziglio, E. (1996). Gazing into the oracle: the Delphi method and its application to social policy and public health. London: Jessica Kingsley Publishers.
Nasurdin, A. M., Osman I. & Ahmad, Z. A. (2006). Pengantar Pengurusan. Kuala Lumpur: Utusan Publications & Distributors Sdn. Bhd.
Allen, J., Dyas, J., & Jones, M. (2004). Building consensus in health care: a guide to using the nominal group technique. British Journal of Community Nursing, 9(3), 110 -114.
Aranha, E., & Borba, P. (2007, September). An estimation model for test execution effort. In Empirical Software Engineering and Measurement, 2007. ESEM 2007. First International Symposium on (pp. 107-116). IEEE
Ariavie, G.O. & Ovuwo, G.C. (2012). Delphi Fuzzy Elicitation Technique in the Determination of Third Party Failure Probability of Onshore Transmission Pipeline in the Niger Delta region of Nigeria. J. Appl. Sci. Environ.Manage,16(1), 95 – 101.
Asra, M. R. T. L., Saedah, S. & Siti Aisyah, H. (2014).Implementation Model of Mlearning Based Discovery Learning on Teacher Education. International Conference on Global Trends in Academic Research, June 2-3, 2014. Bali, Indonesia. Global Illuminators, Kuala Lumpur, Malaysia. 366-382.
Bennett, K. H., & Rajlich, V. T. (2000, May). Software maintenance and evolution: a roadmap. In Proceedings of the Conference on the Future of Software Engineering (pp. 73-87). ACM.
Bertolino, A. (2007, May). Software testing research: Achievements, challenges, dreams. In 2007 Future of Software Engineering (pp. 85-103). IEEE Computer Society.
Bojadziev, G., & Bojadziev, M. (2007). Fuzzy Set For Business, Finance and Management. Singapore: World Scientific Publishing Co. Pte. Ltd.
Chang, P. T., Huang, L. C., & Lin, H. J. (2000). The Fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human Resource. Fuzzy Sets and Systems,112(3), 511–520.
Cheng, C., & Lin, Y. (2002). Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European Journal of Operational Research,142, 174-186
Dalkey, N. C., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458-467.
Delbecq, A. L., Van de Ven, A. H., & Gustafson, D. H. (1975). Group techniques for program planning: a guide to nominal group and Delphi process. Glenview, IL: Scott, Foresman, and Co,
Delp, P., Thesen, A., Motiwalla, J., & Seshardi, N. (1977). Systems tools for project tplanning. Bloomington, Indiana: International Development Institute.
DeWitt, N. A., Siraj, S., Rahman, M. N. A., Hussin, S. S., Alias, N., & DeWitt, D. (2013). Design and Developmental Research: Emergent Trends in Educational Research.
Dobbie, A., Rhodes, M., Tysinger, JW. & Freeman, J. (2004). Using a Modified Nominal Group Technique As a Curriculum Evaluation Tool, Family Medicine, 36(6), 402-406.
Duffield C. (1993) The Delphi Technique: a comparison of results obtained using two expert panels. International Journal of Nursing Studies, 30, 227–237.
Ellis, T. J., & Levy, Y. (2008). Framework of problem-based research: A guide for novice researchers on the development of a research-worthy problem. Informing Science, 11.
Habibah @ Artini, R., Zaharah, H., Mohd Ridhuan, M.J., Ahmad Arifin, S., Saedah, S.& Nurul Rabihah, M.N. (2014). Aplikasi Teknik Fuzzy Delphi Terhadap Keperluan Aspek „Riadhah Ruhiyyah? Untuk Profesionalisme Perguruan Pendidikan Islam. The Online Journal of Islamic Education (O-jIE), 2(2), 53 -72.
Harvey, N. & Holmes, C.A. (2012). Nominal group technique: An effective method for obtaining group consensus. Iternational Journal of Nursing Practice, 18, 188
Hevner, A.R., March, S.T., Park, J. & Ram, S. 2004. Design Science in Information Systems Research. MIS Quarterl
In-Text Citation: (Rejab, Chuprat, & Azmi, 2018)
To Cite this Article: Rejab, M. M., Chuprat, S., & Azmi, N. huda F. M. (2018). Proposed Methodology using Design Development Research (DDR) Improving Traceability Model with Test Effort Estimation. International Journal of Academic Research in Business and Social Sciences, 8(8), 686–699.
Copyright: © 2018 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode