Title :
Continual resource estimation for evolving software
Author_Institution :
Dept. of Comput., The Open Univ., Milton Keynes, UK
Abstract :
A resource estimation approach, specifically oriented towards long-lived software being actively evolved, is proposed and investigated. The approach seeks to be coherent with empirically grounded knowledge including the observation that the software progresses through a series of stages during its lifetime and that a distinctive model characterizes the economics of each individual stage. Instead of a single estimation model for the whole lifetime of the software, the approach calibrates models to each stage. Its feasibility was assessed in case studies using industrial data, yielding accuracy (in magnitude of relative error - MRE) between 20 and 33 percent.
Keywords :
resource allocation; software architecture; software maintenance; software prototyping; MRE; industrial data; magnitude of relative error; resource estimation; software evolution; software feasibility; Computer industry; Extrapolation; Humans; Life estimation; Lifetime estimation; Long Term Evolution; Resource management; Software engineering; Software maintenance; Software systems;
Conference_Titel :
Software Maintenance, 2003. ICSM 2003. Proceedings. International Conference on
Print_ISBN :
0-7695-1905-9
DOI :
10.1109/ICSM.2003.1235433