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| Content Provider | ACM Digital Library |
|---|---|
| Author | Olivera, Vivian Gallardo-Valencia, Rosalva E. Sim, Susan Elliott |
| Abstract | The design of empirical experiments involves making design decisions to trade off what is ideal against what is achievable. Researchers must weigh limitations on resources, metrics, and the current state of knowledge, against the validity of the results. In this paper, we report on the design decisions we made in a small controlled experiment and their effects on the conclusions of the study. The goal of the study was to measure the impact of requirements formats on maintenance tasks. We encountered problems with the subjects' lack of expertise in the technology used, the equivalence of subjects in our experiment conditions, and the number of subjects. These issues meant that we were able to draw conclusions about how subjects worked with the requirements formats, but not about the effect of the formats on the completeness of the implementation. We had a practical and doable experiment, but our results were not conclusive, only informative. |
| Starting Page | 37 |
| Ending Page | 42 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781595938800 |
| DOI | 10.1145/1353673.1353682 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-11-05 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Experience report On-site customer Empirical study Use cases Agile requirements Controlled experiment User stories |
| Content Type | Text |
| Resource Type | Article |
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