Prioritizing software development productivity factors using the analytic hierarchy process
Journal of Systems and Software
Software Risk Management: Principles and Practices
IEEE Software
A Study of the Impact of Requirements Volatility on Software Project Performance
APSEC '02 Proceedings of the Ninth Asia-Pacific Software Engineering Conference
Requirements Volatility and Defect Density
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
Analysis of Requirements Volatility during Software Development Life Cycle
ASWEC '04 Proceedings of the 2004 Australian Software Engineering Conference
Identifying Software Project Risks: An International Delphi Study
Journal of Management Information Systems
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
Dynamic resource scheduling in disruption-prone software development environments
FASE'10 Proceedings of the 13th international conference on Fundamental Approaches to Software Engineering
A simulation approach for impact analysis of requirement volatility considering dependency change
REFSQ'12 Proceedings of the 18th international conference on Requirements Engineering: foundation for software quality
Hi-index | 0.00 |
Requirements volatility is a common project risk which has severeconsequences on software projects. Though its impact on various aspects ofsoftware projects has been highlighted extensively, its influence on projectplans is not well explored yet. This paper proposes a simulation approachRVSim (Requirements Volatility Simulation) which utilizes requirements traceabilityand dependency information to predict the impact of requirements volatilityon software project plans. RVSim can help analyze the effects of requirementsvolatility in depth, and provide useful information for users to make betterdecisions. Moreover, RVSim supports customization for users' own softwareprocesses and projects. We also provide a case study to illustrate the applicabilityand effectiveness of RVSim.