Experience with Performance Testing of Software Systems: Issues, an Approach, and Case Study
IEEE Transactions on Software Engineering
Experiences with ALMA: architecture-level modifiability analysis
Journal of Systems and Software
An Empirically-Based Process for Software Architecture Evaluation
Empirical Software Engineering
Towards Independent Software Architecture Review
ECSA '08 Proceedings of the 2nd European conference on Software Architecture
A comparative study of architecture knowledge management tools
Journal of Systems and Software
TestCom'03 Proceedings of the 15th IFIP international conference on Testing of communicating systems
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An empirical study is described using data collected during 50 architecture audits of large industrial telecommunications systems performed over a period of two years. The goal of this study was to develop metrics that could be used to differentiate between projects that are at high risk of failure and those at low risk. These metrics would be computed following an architecture audit before coding has begun, allowing measures to be taken to correct identified problems very early in the development lifecycle. Detailed information is presented about the use of the proposed risk prediction metric for seven of the systems for which we provided architecture audits.