By Scott W. Ambler (auth.), Bertrand Meyer, Jerzy R. Nawrocki, Bartosz Walter (eds.)
This publication constitutes the completely refereed post-conference lawsuits of the second one IFIP TC 2 valuable and East convention on software program Engineering thoughts, CEE-SET 2007, held in Poznan, Poland, in October 2007.
The 21 revised complete papers offered including 2 keynote addresses have been conscientiously reviewed and chosen from seventy three preliminary submissions. The papers are geared up in topical sections on dimension, approaches, UML, experiments, instruments, and change.
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Extra info for Balancing Agility and Formalism in Software Engineering: Second IFIP TC 2 Central and East European Conference on Software Engineering Techniques, CEE-SET 2007, Poznan, Poland, October 10-12, 2007, Revised Selected Papers
More precisely, let us assume that we use UML in order to create metamodels. If we calculate the value of E(M), then we have to take into account a mapping MA between metrics that belong to M and classes in a metamodel of L. MA contains a pair of a metric m and a class c, if the calculation formula of m takes into account a language element that is presented by c. We can calculate E(M) based on the formula (1) where: a is the total number of different classes of a metamodel of L, which participate in at least one pair in MA, and their direct or indirect subclasses.
Cambridge University Press, Cambridge (1999) 10. ee Abstract. Metric values can be used in order to compare and evaluate software entities, find defects, and predict quality. For some programming languages there are much more known metrics than for others. It would be helpful, if one could use existing metrics in order to find candidates for new metrics. A solution is based on an observation that it is possible to specify abstract syntax of a language by using a metamodel. In the paper a metrics development method is proposed that uses metamodel-based translation.
The claim ‘Good questionnaire results’ is decomposed further giving assessment criteria for answers to particular questions (explaining what ‘good’ means in this context). The fact ‘Good performance statistics’ is directly connected with a metric. It states that dealing with a change takes less than 90% of time needed if SCF were not used. Fig. 8. also shows that at the same abstraction level it is possible to have claims and facts simultaneously. This gives flexibility in structuring the argumentation tree according to the needs.
Balancing Agility and Formalism in Software Engineering: Second IFIP TC 2 Central and East European Conference on Software Engineering Techniques, CEE-SET 2007, Poznan, Poland, October 10-12, 2007, Revised Selected Papers by Scott W. Ambler (auth.), Bertrand Meyer, Jerzy R. Nawrocki, Bartosz Walter (eds.)
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