期刊名称:Journal of Software Engineering and Applications
印刷版ISSN:1945-3116
电子版ISSN:1945-3124
出版年度:2010
卷号:3
期号:11
页码:1005-1014
DOI:10.4236/jsea.2010.311118
出版社:Scientific Research Publishing
摘要:How can we best find project changes that most improve project estimates? Prior solutions to this problem required the use of standard software process models that may not be relevant to some new project. Also, those prior solutions suffered from limited verification (the only way to assess the results of those studies was to run the recommendations back through the standard process models). Combining case-based reasoning and contrast set learning, the W system requires no underlying model. Hence, it is widely applicable (since there is no need for data to conform to some software process models). Also, W’s results can be verified (using holdout sets). For example, in the experiments reported here, W found changes to projects that greatly reduced estimate median and variance by up to 95% and 83% (respectively).
关键词:Software Effort Estimation; Case Based Reasoning; Effort Estimation