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Evaluating the Applicability of a Function Point Logic File Identification Technique through Controlled Experiments

초록

영어

Since the introduction of object-oriented (OO) development techniques into industrial practices for software development, many Function Point (FP) technique adaptations have been proposed to improve estimations on the size of a software application. Most research works only deal with OO modifications to the previous version of the FP Counting Practices Manual (4.1) or they do not include some important UML specifications such as the composition relationship between classes. In this paper, we propose rules to identify Internal Logic Files (ILF) and External Interface Files (EIF) using analysis class diagrams. These rules were defined in accordance with the recommendations included in the FP Counting Practices Manual 4.2.1. We also present the results obtained by applying our rules to software size estimation case studies performed with undergraduate and graduate students.
These results have proved our proposal to be at least equally accurate and consistent with the original FP technique.

목차

Abstract
 1. Introduction
 2. Related work
 3. Rules to identify logical files
 4. Experimental design
 5. Results
  5.1. Graduate students results
  5.2. Undergraduate students results
  5.3. Comparison of quantitative results
  5.4. Questionnaire results
 6. Discussion
  6.1. Threats to Construct Validity
  6.2. Threats to Internal Validity
  6.3. Threats to external validity
 7. Conclusions and future Work
 References

저자정보

  • José Antonio Pow-Sang Pontificia Universidad Católica del Perú
  • Loretta Gasco Pontificia Universidad Católica del Perú
  • Arturo Nakasone National Institute of Informatics

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