Sciweavers

Share
AMOST
2005
ACM

Early estimation of defect density using an in-process Haskell metrics model

11 years 3 months ago
Early estimation of defect density using an in-process Haskell metrics model
Early estimation of defect density of a product is an important step towards the remediation of the problem associated with affordably guiding corrective actions in the software development process. This paper presents a suite of in-process metrics that leverages the software testing effort to create a defect density prediction model for use throughout the software development process. A case study conducted with Galois Connections, Inc. in a Haskell programming environment indicates that the resulting defect density prediction is indicative of the actual system defect density. Categories and Subject Descriptors D.2.8 [Software Engineering]: Metrics - Performance measures, Process metrics, Product metrics. General Terms Measurement, Reliability. Keywords Empirical software engineering, multiple regression, software quality, Haskell.
Mark Sherriff, Nachiappan Nagappan, Laurie A. Will
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2005
Where AMOST
Authors Mark Sherriff, Nachiappan Nagappan, Laurie A. Williams, Mladen A. Vouk
Comments (0)
books