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Theory and Practice of Logic Programming
Article . 2002 . Peer-reviewed
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Generic program monitoring by trace analysis

Authors: Jahier, Erwan; Ducassé, Mireille;

Generic program monitoring by trace analysis

Abstract

Program execution monitoring consists of checking whole executions for given properties, and collecting global run-time information. Monitoring gives valuable insights and helps programmers maintain their programs. However, application developers face the following dilemma: either they use existing monitoring tools which never exactly fit their needs, or they invest a lot of effort to implement relevant monitoring code. In this paper, we argue that when an event-oriented tracer exists, the compiler developers can enable the application developers to easily code their own monitors. We propose a high-level primitive called foldt which operates on execution traces. One of the key advantages of our approach is that it allows a clean separation of concerns; the definition of monitors is totally distinct from both the user source code and the language compiler. We give a number of applications of the use of foldt to define monitors for Mercury program executions: execution profiles, graphical abstract views, and two test coverage measurements. Each example is implemented by a few simple lines of Mercury.

Keywords

test coverage, ACM: D.: Software/D.3: PROGRAMMING LANGUAGES/D.3.2: Language Classifications/D.3.2.2: Constraint and logic languages, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.9: Tracing, General topics in the theory of software, automated debugging, Mercury program, Logic programming, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average
bronze