1,720,985 research outputs found
Towards a Methodology for the Understanding of Object-Oriented Systems
No full textThe reverse engineering of object-oriented legacy systems presents a number of problems typically encountered in large-scale legacy systems: the lack of overview and the need to focus on interesting parts. To help in reverse engineering large object-oriented legacy systems, we proposed a hybrid approach combining the immediate appeal of visualisations with the scalability of metrics. However, our approach lacked of a methodology that guides the reverse engineer. In this paper we present a first methodology that we developed from our industrial experiments
Run-Time Information Visualization for Understanding Object-Oriented Systems
No full textUnderstanding object-oriented legacy systems is a complex task exacerbated by the presence of late binding and polymorphism. Moreover, the metaphor of message sending and the anthropomorphism promoted by object-oriented languages makes it difficult to statically identify the precise role the objects play at run-time. We propose a lightweight visualization approach enriched with run-time information which allows us to identify precise aspects of the objects lifetime such as the role played in the creation of other objects and the communication architecture they support. Our approach not only supports the run-time understanding of an application but also allows one to evaluate test understanding and test coverage
Supporting Unanticipated Changes with Traits and Classboxes
No full textOn the one hand, traits are a powerful way of structuring classes. Traits support the reuse of method collections over several classes. However, traits cannot be used when specifying unanticipated changes to an application. On the other hand, classboxes are a new module system that supports the local redefinition of classes: a collection of classes can be locally extended with variables and/or methods and the existing clients do not get impacted by changes. However, an extension applied to a class by a classbox cannot be reused for other classes. This paper describes how combining Traits and Classboxes supports the safe introduction of crosscutting collaborations: safe because the existing clients of the classes do not get impacted, crosscutting because collaborations between several classes can be put in place in a unanticipated manner. In the resulting system, a collaboration is represented by a classbox and a role by a trait
Design and Implementation of a Backward-In-Time Debugger
Get PDFInternational audienceTraditional debugging and stepping execution trace are well-accepted techniques to understand deep internals about a program. However in many cases navigating the stack trace is not enough to find bugs, since the cause of a bug is often not in the stack trace anymore and old state is lost, so out of reach from the debugger. In this paper, we present the design and implementation of a backward-in-time debugger for a dynamic language, i.e., a debugger that allows one to navigate back the history of the application. We present the design and implementation of a backward-in-time debugger called UNSTUCK and show our solution to key implementation challenges
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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