Critical review of quantitative assessment

Abstract
The paper discusses several empirical studies reported in the literature aimed at evaluating the benefits of using software engineering methods and tools. The discussion highlights a number of problems associated with the methodology of the studies. The main problems concerned the difficulty of formulating the hypothesis to be tested, using surrogate measures, defining a control and minimising the effect of personalities. Most of these problems are found in many experimental situations, but the problem associated with the proper definition of a control group seems to be a particular issue for software experiments. The paper concludes with some guidelines for improving the organisation of empirical studies. The paper discusses several empirical studies reported in the literature aimed at evaluating the benefits of using software engineering methods and tools. The discussion highlights a number of problems associated with the methodology of the studies. The main problems concerned the difficulty of formulating the hypothesis to be tested, using surrogate measures, defining a control and minimising the effect of personalities. Most of these problems are found in many experimental situations, but the problem associated with the proper definition of a control group seems to be a particular issue for software experiments. The paper concludes with some guidelines for improving the organisation of empirical studies.

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