An application of Genetic Programming to Software Quality Prediction

Created by W.Langdon from gp-bibliography.bib Revision:1.8194

@InCollection{Khoshgoftaar:1998:CISE,

• author = "T. M. Khoshgoftaar and M. P. Evett and E. B. Allen and P.-D. Chien",
• title = "An application of Genetic Programming to Software Quality Prediction",
• booktitle = "Computational Intelligence in Software Engineering",
• publisher = "World Scientific Publishing Co.",
• year = "1998",
• editor = "W. Pedrycz and J. F. Peters",
• volume = "16",
• series = "Advances in Fuzzy Systems-Applications and Theory",
• pages = "175--195",
• month = dec,
• keywords = "genetic algorithms, genetic programming, SBSE, evolutionary computation, software quality, software reliability, fault-prone modules, software metrics, software engineering",
• eisbn = "9789812816153",
• URL = "http://ebooks.worldscinet.com/ISBN/9789812816153/9789812816153_0007.html",
• DOI = "doi:10.1142/9789812816153_0007",
• abstract = "Because highly reliable software is becoming an essential ingredient in many systems, software developers apply various techniques to discover faults early in development, such as more rigorous reviews, more extensive testing, and strategic assignment of key personnel. Our goal is to target reliability enhancement activities to those modules that are most likely to have problems. This paper presents a methodology that incorporates genetic programming for predicting the order of software modules based on the expected number of faults. This is the first application of genetic programming to software engineering that we know of. We found that genetic programming can be used to generate software quality models whose inputs are software metrics collected earlier in development, and whose output is a prediction of the number of faults that will be discovered later in development or during operations. We established ordinal evaluation criteria for models, and conducted an industrial case study of software from a military communications system. Case study results were sufficiently good to be useful to a project for choosing modules for extra reliability enhancement treatment.",
• notes = "See also: An Application of Genetic Programming to Software Quality Prediction, Technical report, TR-CSE-97-60, Florida Atlantic Univ, September 1997 ???

  Empirical Software Engineering Laboratory, Department of Computer Science and Engineering, Florida Atlantic University, 777 W. Glades Road, Boca Raton, FL 333431, USA",

}

Genetic Programming entries for Taghi M Khoshgoftaar Matthew P Evett Edward B Allen Pei-der Chien

Citations