Estimate Your Software Testing Effort Right

Jing Chiou Liou, Su Chiou Tsay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Sizing a software application, estimating the effort and cost for project activities, and developing the project schedule are very important for building a successful software project. But estimation is hard. Not only because no accurate estimates can be produced by any single set of techniques, but also there is uncertainly at every phase of the software development cycle. It is no exception for testing. Test is a key activity for software quality. There is always pressure from customer and management to commit to shorter schedules and lower cost, especially for testing. In this paper, we present a parametric estimation model for estimating testing effort/cost, along with a test graph for test cases analysis to aid in producing a more accurate estimation. The model and the test graph have been used by multi-million-dollar software projects for more than three years. It is proven that they produced very accurate estimations, within 10% of deviation, even with very high requirement volatility.

Original languageEnglish
Title of host publicationProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 1
EditorsP.P. Wang, P.P. Wang
Pages615-618
Number of pages4
Edition1
StatePublished - 2000
EventProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000 - Atlantic City, NJ, United States
Duration: 27 Feb 20003 Mar 2000

Publication series

NameProceedings of the Joint Conference on Information Sciences
Number1
Volume5

Conference

ConferenceProceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000
Country/TerritoryUnited States
CityAtlantic City, NJ
Period27/02/003/03/00

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