Dynamic Analysis of Ada Programs for Comprehension and Quality Measurement Department of Computer Science and Software Engineering Concordia University 1455 De Maisonneuve Blvd. Ouest Montr al, Qu bec, Canada Elaheh Safari-Sharifabadi e_safari@encs.concordia.ca Department of Computer Science and Software Engineering Concordia University 1455 De Maisonneuve Blvd. Ouest Montr al, Qu bec, Canada Constantinos Constantinides cc@encs.concordia.ca ABSTRACT During maintenance and particularly during corrective and perfective tasks, systems tend to exhibit a weight gain. As a result, their quality tends to degrade. Software comprehension is vital in order to assess system quality. In this paper, we aim at deploying dynamic analysis of Ada programs for obtaining comprehension, and applying measurements to assess their quality. Program instrumentation is performed non-intrusively by AspectAda, an aspect-oriented extension to Ada which we discussed in earlier work. Events which are required for this analysis are captured as execution traces. We have de ned a relational database schema to save execution traces, and a set of queries to obtain measures of quality metrics. New Ada-speci c metrics are introduced and existing metrics have been adopted from the literature. Automation is also provided as a proof of concept through a prototypical tool which provides information on the runtime
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