Defect / Effort Prediction Models in Software Maintenance Projects
S. Manivannan, S. Balasubramanian · 2010
Planning software maintenance work is a key factor for a successful maintenance project and for better project scheduling, monitoring, and control. To this aim, effort estimation is a valuable asset to maintenance managers in planning maintenance activities and performing cost/benefits analysis. Software practitioners recognize the importance of realistic estimates of effort to the successful management of software projects. Having realistic estimates at an early stage in a project's life cycle allow project managers and software organizations to manage resources effectively. Prediction is a necessary part of an effective process, be it authoring, design, testing, or Web development as a whole. Maintenance projects may range from ordinary projects requiring simple activities of understanding, impact analysis and modifications, to extraordinary projects requiring complex interventions such as encapsulation, reuse, reengineering, migration, and retirement. Moreover, software costs are the result of a large number of parameters so any estimation or control technique must reflect a large number of complex and dynamic factors. This paper mainly covers the models related to Fault predictions well ahead of the execution so that it gives an insight to the managers to take appropriate decisions.