Comparing Software Prediction Techniques Using Simulation
IEEE Transactions on Software Engineering - Special section on the seventh international software metrics symposium
Software Testing: A Craftman's Approach
Software Testing: A Craftman's Approach
Testing Enbredded Software
A Simulation Tool for Efficient Analogy Based Cost Estimation
Empirical Software Engineering
Surviving Global Software Development
IEEE Software
IEEE Transactions on Software Engineering
English as a Formal Specification Language
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Using Simulation to Evaluate Prediction Techniques
METRICS '01 Proceedings of the 7th International Symposium on Software Metrics
Proceedings of the 27th international conference on Software engineering
An open source simulation model of software development and testing
HVC'06 Proceedings of the 2nd international Haifa verification conference on Hardware and software, verification and testing
Search based constrained test case selection using execution effort
Expert Systems with Applications: An International Journal
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Several researches are being performed to address current softwaredevelopment problems in industry. However, quantifying the benefits of usingthese solutions in the practice is also a challenge. Usually, pilot studies are run toget evidences about these benefits. Nevertheless, it may be difficult to run thesestudies due to the required changes in the development process and the lack ofavailable resources. In this work, we address the problem of assessing the testdesign effort reduction provided by TaRGeT, a tool that supports a Model-Based Testing (MBT) approach. We used process simulation to provide evidence ofthis effort reduction in a multi-site industry. For that, we modeled, simulated andcompared the use of the current and the model-based test design processes. Weidentified interesting advantages of using process simulation, such as its reducedcosts and the possibility to analyze multiple scenarios. We also show somedrawbacks of this approach, such as the difficult to create models close to the realityand the lack of processes simulation and comparison support.