TY - GEN
T1 - Estimate Your Software Testing Effort Right
AU - Liou, Jing Chiou
AU - Tsay, Su Chiou
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=1642344697&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:1642344697
SN - 0964345692
T3 - Proceedings of the Joint Conference on Information Sciences
SP - 615
EP - 618
BT - Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000, Volume 1
A2 - Wang, P.P.
A2 - Wang, P.P.
T2 - Proceedings of the Fifth Joint Conference on Information Sciences, JCIS 2000
Y2 - 27 February 2000 through 3 March 2000
ER -