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  1. Proceedings of the 1st ACM international workshop on Empirical assessment of software engineering languages and technologies (WEASELTech '07)
  2. Practical experiments are informative, but never perfect
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Practical experiments are informative, but never perfect

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 PDF
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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