Premium
On the selection of software defect estimation techniques
Author(s) -
Cangussu João W.,
Haider Syed W.,
Cooper Kendra,
Baron Michael
Publication year - 2011
Publication title -
software testing, verification and reliability
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.216
H-Index - 49
eISSN - 1099-1689
pISSN - 0960-0833
DOI - 10.1002/stvr.419
Subject(s) - estimation , selection (genetic algorithm) , computer science , ranking (information retrieval) , software , data mining , product (mathematics) , reliability engineering , machine learning , engineering , systems engineering , mathematics , programming language , geometry
Estimating the number of defects in a software product is an important and challenging problem. A multitude of estimation techniques have been proposed for defect prediction. However, not all techniques are applicable in all cases. The selection of the proper approach to use depends on multiple factors: the features of the approach; the availability of resources; and the goals for using the estimated defect data. In this paper a survey of existing estimation techniques and a decision support approach for selecting the most suitable defect estimation technique for a project, with specific goals, is proposed. The results of the ranking are a clear indication that no estimation technique provides a single, comprehensive solution; the selection must be done according to a given scenario. Copyright © 2009 John Wiley & Sons, Ltd.