Limitations of empirical testing technique knowledge

  • Authors:

  • N. Juristo;A. M. Moreno;S. Vegas

  • Affiliations:

  • Facultad de Informatica, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, 28660 Madrid, Spain;Facultad de Informatica, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, 28660 Madrid, Spain;Facultad de Informatica, Universidad Politécnica de Madrid, Campus de Montegancedo, Boadilla del Monte, 28660 Madrid, Spain

  • Venue:
  • Lecture notes on empirical software engineering
  • Year:
  • 2003

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Abstract

Engineering disciplines are characterised by the use of mature knowledge by means of which they can achieve predictable results. Unfortunately, the type of knowledge used in software engineering can be considered to be of a relatively low maturity, and developers are guided by intuition, fashion or market-speak rather than by facts or undisputed statements proper to an engineering discipline. Testing techniques determine different criteria for selecting the test cases that will be used as input to the system under examination, which means that an effective and efficient selection of test cases conditions the success of the tests. The knowledge for selecting testing techniques should come from studies that empirically justify the benefits and application conditions of the different techniques. This paper analyses the maturity level of the knowledge about testing techniques by examining existing empirical studies about these techniques. For this purpose, we classify testing technique knowledge according to four categories.