A HUMAN CENTRED PERSPECTIVE TOWARDS ENVISIONING A DECISION SUPPORT SYSTEM (DSS) FOR REQUIREMENTS ENGINEERING
Journal Title: International Journal of Electrical, Electronics and Mechanical Fundamentals (www.ijeemf.com) - Year 2012, Vol 2, Issue 1
Abstract
Software quality is often reflective of the quality and maturity of the software development process of the organization. Pedagogical software process models such as the Waterfall, Spiral, and rapid prototyping all include Requirements Engineering activities. It is generally accepted that the ultimate quality of the delivered software depends on the requirements upon which the system has been built. Studies performed at many companies have measured and assigned costs to correcting defects in software discovered at various phases of the project lifecycle. Generally the later in the software lifecycle a defect is discovered the more expensive it is to rectify. Research suggests that correcting software defects can require nearly two hundred times the effort if the correction is implemented in the maintenance phase versus the requirements specification phase of a software lifecycle. Researchers and practitioners have for a number of years agreed that requirements engineering (RE) is a critical activity for the success of systems development. The complexity of RE and the large extent of decision-making involved in the RE process have also been recognized. The fundamental viewpoint throughout this research will be “ RE decision-making can be substantially improved by RE decision support systems based on the actual needs of RE decision-makers as well as the actual generic human decision- making activities that take place in the RE decision processes”. Decision Support System (DSS) will focus on augmenting the human RE decision-makers possibilities to carry out decision- making activities in the whole RE decision process. Currently, there is a lack of understanding of the nature of RE decision-making in practice as well as the problems and difficulties that affect RE decision-makers. In addition, existing RE decision support is limited and mainly concerned with specific RE decision problems on a fairly detailed level. RE decision-making and decision support is a relatively new and immature field of research. Therefore, we will try to provide a holistic and in depth portrayal of RE decision-making as well as suggest desirable characteristics of an RE decision support system through this paper.
Authors and Affiliations
Amita Dhankar , Kamna Solanki , Sudhir Gahlawat , Tamanna
Keywords
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