Comprehension and Maintenance of Large-Scale Multi-Language Software Applications

Kontogiannis, Kostas; Linos, Panagiotis K.; Wong, Kenny

doi:10.1109/icsm.2006.20

Cited by 30 publications

(34 citation statements)

References 4 publications

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“…More recently there has been an ongoing trend towards multi-language software development, to take advantage of different programming languages [6] specifically in the .NET context. For multi-language development, two key usage scenarios can be distinguished: (1) combining different programming languages within a single, often large and complex system, and (2) use of several languages for reimplementation of a current system to support new client, application, or due to non-technical reasons (e.g.…”

Section: Introductionmentioning

confidence: 99%

Detecting Clones Across Microsoft .NET Programming Languages

Al-Omari

Keivanloo

Roy

et al. 2012

2012 19th Working Conference on Reverse Engineering

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The Microsoft .NET framework and its language family focus on multi-language development to support interoperability across several programming languages. The framework allows for the development of similar applications in different languages through the reuse of core libraries. As a result of such a multi-language development, the identification and traceability of similar code fragments (clones) becomes a key challenge. In this paper, we present a clone detection approach for the .NET language family. The approach is based on the Common Intermediate Language, which is generated by the .NET compiler for the different languages within the .NET framework. In order to achieve an acceptable recall while maintaining the precision of our detection approach, we define a set of filtering processes to reduce noise in the raw data. We show that these filters are essential for Intermediate Languagebased clone detection, without significantly affecting the precision of the detection approach. Finally, we study the quantitative and qualitative performance aspects of our clone detection approach. We evaluate the number of reported candidate clone-pairs, as well as the precision and recall (using manual validation) for several open source cross-language systems, to show the effectiveness of our proposed approach.

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Section: Introductionmentioning

confidence: 99%

Detecting Clones Across Microsoft .NET Programming Languages

Al-Omari

Keivanloo

Roy

et al. 2012

2012 19th Working Conference on Reverse Engineering

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“…Large-scale software is developed by many programmers over considerable time and includes many integrated components, which may be written by different teams at different times and in response to changing requirements [1], [2]. Such software is typically over 100 KLOC and often over 1MLOC in size -for example the Google Chrome browser has over 6 MLOC [3].…”

Section: Introductionmentioning

confidence: 99%

Detecting Communities of Methods Using Dynamic Analysis Data

Duffee

András

2015

2015 IEEE/ACM 6th International Workshop on Emerging Trends in Software Metrics

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Abstract-Maintaining large-scale software is difficult due to the size and variable nature of such software. Network analysis is a promising approach to extract useful knowledge from network representations of large and complex systems. Community detection is a network analysis method that aims to detect communities of nodes that share some common feature that is relevant for the whole system. We aim in this paper to investigate the usefulness of community detection for software maintenance considering networks of methods and method calls that represent execution traces of the analysed software. Our results show that the method communities that we extract are relatively persistent over multiple execution traces and that they are associated with functional features of the software. Our results also show that method communities are not associated with method level design features, but each method community has a specific distribution over method stereotypes.

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“…A growing industrial trend in software development is to implement programs in multiple languages [9], but most approaches to dependency analysis leverage language-specific technology (e.g., abstract syntax trees). Language-specific approaches do not adequately address dependency analysis across language boundaries in such polylingual systems.…”

Section: Introductionmentioning

confidence: 99%

Polylingual Dependency Analysis Using Island Grammars: A Cost Versus Accuracy Evaluation

Cossette

Walker

2007

2007 IEEE International Conference on Software Maintenance

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Software dependency analysis is an important step in determining the potential impact of changes. Existing tool support for conducting dependency analysis does not sufficiently support systems written in more than one language. Tools based on semantic analyses are expensive to create for combinations of multiple languages, while lexical tools provide poor accuracy and rely heavily on developer skill. This paper reports on an investigation into the application of a series of incrementallybetter island grammars to an industrial, open-source polylingual system to determine the cost-to-accuracy relationship involved in developing and applying island grammars for dependency analysis. The results of our study suggest the effort-cost in writing richer island grammars rises faster than the resulting accuracy.

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Comprehension and Maintenance of Large-Scale Multi-Language Software Applications

Cited by 30 publications

References 4 publications

Detecting Clones Across Microsoft .NET Programming Languages

Detecting Clones Across Microsoft .NET Programming Languages

Detecting Communities of Methods Using Dynamic Analysis Data

Polylingual Dependency Analysis Using Island Grammars: A Cost Versus Accuracy Evaluation

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