Title Estimation of Defects Based on Defect Decay Model: ED^\{3\}M
Publication Type Journal Article
Year of Publication 2008
Authors Haider, S, Cangussu, J, Cooper, K, Dantu, R
Journal IEEE Transactions on Software Engineering
Volume 34
Pagination 336 - 356
Keywords Costs, defect decay model, defect estimation, Defect prediction, estimation theory, Inspection, Metrics/Measurement, Phase estimation, Productivity, program testing, Programming, Software maintenance, software metrics, software product, Software systems, Software testing, Statistical methods, System testing, system testing process, Testing and Debugging
Abstract

An accurate prediction of the number of defects in a software product during system testing contributes not only to the management of the system testing process but also to the estimation of the product's required maintenance. Here, a new approach called ED<sup>3</sup>M is presented that computes an estimate of the total number of defects in an ongoing testing process. ED<sup>3</sup>M is based on estimation theory. Unlike many existing approaches the technique presented here does not depend on historical data from previous projects or any assumptions about the requirements and/or testers' productivity. It is a completely automated approach that relies only on the data collected during an ongoing testing process. This is a key advantage of the ED<sup>3</sup>M approach, as it makes it widely applicable in different testing environments. Here, the ED<sup>3</sup>M approach has been evaluated using five data sets from large industrial projects and two data sets from the literature. In addition, a performance analysis has been conducted using simulated data sets to explore its behavior using different models for the input data. The results are very promising; they indicate the ED<sup>3</sup>M approach provides accurate estimates with as fast or better convergence time in comparison to well-known alternative techniques, while only using defect data as the input.

DOI 10.1109/TSE.2008.23

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