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Mining Change and Version Management Histories to Evaluate an Analysis Tool: Extended Abstract
| Content Provider | CiteSeerX |
|---|---|
| Author | Shao, Danhua Khurshid, Sarfraz Perry, Dewayne E. |
| Description | Parallel changes are becoming increasingly prevalent in the development of large scale software system. To deepen the study on the relationship between parallel changes and faults, we have designed a tool to detect the direct semantic interference between parallel changes. In this paper, we describe an empirical study to evaluate this semantic interference detection tool. We first mine the change and version management repositories to find sample versions sets of different degree of parallel changes. On the basis of the analysis reports, we mine the change and version repositories to find out what faults were discovered subsequent to the analyzed versions. We will also determine the lapse and cost data for finding and fixing the faults associated with those samples. This approach provides a significant and low cost method for effectively evaluating the usefulness of software tools. 1. |
| File Format | |
| Language | English |
| Publisher Institution | MidAtlantic Student Workshop on Programming Languages and Systems, April 2006. New Brunsiwck NJ |
| Access Restriction | Open |
| Subject Keyword | Version Repository Software Tool Semantic Interference Detection Tool Version Management History Different Degree Direct Semantic Interference Analyzed Version Analysis Tool Cost Data Parallel Change Version Management Repository Large Scale Software System Empirical Study Analysis Report Sample Version Set Low Cost Method |
| Content Type | Text |
| Resource Type | Article |