Analysis and manipulation of distributed multi-language software code

Deruelle, Laurent; Melab, Nouredine; Bouneffa, Mourad; Basson, Henri

doi:10.1109/scam.2001.972665

Cited by 12 publications

(8 citation statements)

References 9 publications

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“…Given the multi-language nature of today's software projects, researchers have been working on approaches for multi-language program analysis [11,26,50]. These approaches are typically built on metamodels [26,78] that enable the analysis and manipulation of multi-language software code, thus allowing the generalization of specific static analyses and other software recommendations.…”

Section: Multi-language Analysismentioning

confidence: 99%

“…This is the case even though many concepts (like methods, attributes and cyclomatic complexity) are very similar in different programming languages. While multi-language program analysis has been explored in recent literature [11,50], working approaches are usually based on a concrete metamodel [26,78,82] for the analysis or manipulation of multi-language software code. However, these models are comparatively heavy-weight and always require a translation from an existing program representation (such as an AST) to an instance of the model.…”

Section: Introductionmentioning

confidence: 99%

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Redundancy-free analysis of multi-revision software artifacts

Alexandru¹,

Panichella²,

Proksch³

et al. 2018

Empir Software Eng

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Researchers often analyze several revisions of a software project to obtain historical data about its evolution. For example, they statically analyze the source code and monitor the evolution of certain metrics over multiple revisions. The time and resource requirements for running these analyses often make it necessary to limit the number of analyzed revisions, e.g., by only selecting major revisions or by using a coarse-grained sampling strategy, which could remove significant details of the evolution. Most existing analysis techniques are not designed for the analysis of multi-revision artifacts and they treat each revision individually. However, the actual difference between two subsequent revisions is typically very small. Thus, tools tailored for the analysis of multiple revisions should only analyze these differences, thereby preventing re-computation and storage of redundant data, improving scalability and enabling the study of a larger number of revisions. In this work, we propose the Lean Language-Independent Software Analyzer (LISA), a generic framework for representing and analyzing multi-revisioned software artifacts. It employs a redundancy-free, multi-revision representation for artifacts and avoids re-computation by only analyzing changed artifact fragments across thousands of revisions. The evaluation of our approach consists of measuring the effect of each individual technique incorporated, an in-depth study of LISA resource requirements and a large-scale analysis over 7 million program revisions of 4,000 software projects written in four languages. We show that the time and space requirements for multi-revision analyses can be reduced by multiple orders of magnitude, when compared to traditional, sequential approaches.

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Section: Multi-language Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Redundancy-free analysis of multi-revision software artifacts

Alexandru¹,

Panichella²,

Proksch³

et al. 2018

Empir Software Eng

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show abstract

“…Analyses of multi-language systems are in [14] (comprehension), [11] (change propagation), [22] (performance evaluation) and [21] (dependencies). Other papers discussing interoperability and the checking of interface conformance for multi-language systems include [25] and [3], which summarises approaches for calling one language from another.…”

Section: Related Workmentioning

confidence: 99%

Measuring multi-language software evolution

Arbuckle

2011

Proceedings of the 12th International Workshop on Principles of Software Evolution and the 7th Annual ERCIM Workshop on Softwar

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Characterising and measuring software developed in multiple languages is a problem for practitioners. Rather than a language-based approach, we avoid difficulties related to syntax, semantics and language paradigms by looking directly at relative shared information content to perform these tasks. Measuring, for each language, the relative number of bits of shared binary information between artefacts representative of consecutive releases of the project using a common tool permits the direct comparison of evolution results for the multiple languages. This paper presents a case study of the program suite called git, written in C, perl and Bourne shell. The study uses this method to show that, for git, code in scripting languages does not prototype later C, Bourne shell and C code are written together and that the languages' code contributions occur concurrently.

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“…The reengineering community has been working on the issue of multilanguage analysis for a number of years to assist in analysis and migration of multilanguage systems (Deruelle, Melab, Boune, & Basson, 2001). Most work in this area is based on parsing of source code to create common higher level representations that can then be analyzed using tools.…”

Section: Current Researchmentioning

confidence: 99%

Research Challenges in the Maintenance and Evolution of Service-Oriented Systems

Lewis

Smith

Migrating Legacy Applications

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Service-Oriented Architecture (SOA) is a viable option for systems development, systems integration, and leverage of legacy systems. Despite its positive contributions and potential, SOA has been subjected to significant hype and inflated expectations, and past research efforts in this area have been unfocused. As a result, there is a strong need for systematic and unbiased research. Based on a synthesis of two leading efforts, this chapter presents a framework of research challenges for service orientation and focuses on the topics related to the migration and evolution of service-oriented systems. The chapter reviews current progress as well as gaps in addressing challenges that are derived from the framework.

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Analysis and manipulation of distributed multi-language software code

Cited by 12 publications

References 9 publications

Redundancy-free analysis of multi-revision software artifacts

Redundancy-free analysis of multi-revision software artifacts

Measuring multi-language software evolution

Research Challenges in the Maintenance and Evolution of Service-Oriented Systems

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