Title :
Applying WinWin to quality requirements: a case study
Author :
In, Hoh ; Boehm, Barry ; Rodger, T. ; Deutsch, Michael
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
Describes the application of the WinWin paradigm to identify and resolve conflicts in a series of real-client, student-developer digital library projects. The paper is based on a case study of the statistical analysis of 15 projects and an in-depth analysis of one representative project. These analyses focus on the conflict resolution process, stakeholders´ roles and their relationships to quality artifacts, and tool effectiveness. We show that stakeholders tend to accept satisfactory rather than optimal resolutions. Users and customers are more proactive in stating win conditions, whereas developers are more active in working toward resolutions. Further, we suggest that knowledge-based automated aids have potential to significantly enhance process effectiveness and efficiency. Finally, we conclude that such processes and tools have theoretical and practical implications in the quest for better software requirements elicitation.
Keywords :
computer aided software engineering; digital libraries; knowledge based systems; software cost estimation; software process improvement; software quality; software tools; statistical analysis; WinWin paradigm; acceptability; case study; conflict identification; conflict resolution; digital library projects; knowledge-based automated aids; proactive customers; proactive users; quality artifacts; requirements engineering; risk; software cost analysis; software process effectiveness; software process efficiency; software quality attributes; software quality requirements; software requirements elicitation; software tool effectiveness; stakeholder roles; statistical analysis; student software developers; win conditions; Application software; Computer aided software engineering; Computer science; Costs; Degradation; Software engineering; Software libraries; Software quality; Software tools; Statistical analysis;
Conference_Titel :
Software Engineering, 2001. ICSE 2001. Proceedings of the 23rd International Conference on
Print_ISBN :
0-7695-1050-7
DOI :
10.1109/ICSE.2001.919130