Reuse-Conducive Development Environments

Ye, Yunwen; Fischer, Gerhard

doi:10.1007/s10515-005-6206-x

Cited by 69 publications

(51 citation statements)

References 67 publications

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“…However, in the particular context of software reuse, several recommender systems have been made: CodeBroker (Ye and Fischer, 2005), Hipikat (Cubranic et al, 2005), Strathcona (Holmes et al, 2006), ParseWeb (Thummalapenta and Xie, 2007), and ORIPC (Outil de Recommandation et Instanciation des Patrons de Conception) (Bouassida et al, 2011).…”

Section: Related Workmentioning

confidence: 99%

CodeRAnts: A recommendation method based on collaborative searching and ant colonies, applied to reusing of open source code

Caicedo-Castro¹,

Duarte-Amaya²

2014

ing.inv.

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This paper presents CodeRAnts, a new recommendation method based on a collaborative searching technique and inspired on the ant colony metaphor. This method aims to fill the gap in the current state of the matter regarding recommender systems for software reuse, for which prior works present two problems. The first is that, recommender systems based on these works cannot learn from the collaboration of programmers and second, outcomes of assessments carried out on these systems present low precision measures and recall and in some of these systems, these metrics have not been evaluated. The work presented in this paper contributes a recommendation method, which solves these problems. Keywords:Recommender Systems on Software Engineering, recommendation method based on collaborative searching, software reuse, open source software, ant colony. RESUMENEste artículo presenta CodeRAnts: un nuevo método de recomendación basado en la técnica de búsqueda colaborativa e inspirada en la metáfora de la colonia de hormigas. Este método es propuesto con el objetivo de llenar el vacío en el estado del arte en cuanto a los sistemas de recomendación diseñados para reutilizar software, cuyos trabajos previos presentan dos problemas. El primero, es que los sistemas de recomendación basados en esos trabajos no pueden aprender de la colaboración de los programadores, y segundo, que los resultados de las pruebas realizados sobre estos sistemas presentan medidas bajas de precisión y remembranza, incluso, en algunos de estos sistemas no se hizo una evaluación de estas métricas. La contribución de este trabajo es un método de recomendación que resuelva dichos problemas.Palabras clave: Sistemas de recomendación para ingeniería de software, método de recomendación basado en la búsqueda colaborativa, reutilización de software, software de fuente abierta y colonia de hormigas.

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Section: Related Workmentioning

confidence: 99%

CodeRAnts: A recommendation method based on collaborative searching and ant colonies, applied to reusing of open source code

Caicedo-Castro¹,

Duarte-Amaya²

2014

ing.inv.

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“…CodeBroker used a latent-semantic indexing mechanism to associate terms used in program comments and method signatures with methods stored in code repositories [33]. Blueprint automatically generates queries with code context for a developer and presents a code-centric view of Google search results in an IDE [6].…”

Section: Helping To Formulating Queriesmentioning

confidence: 99%

“…One of the early systems, CodeBroker [32], monitors a programming editor (emacs), infers the programmer's interest by parsing comments and message signatures, and pushes potentially relevant information to the developer in a subtle manner (i.e., in a small sub-pane located in the bottom of the emacs editor). The argument for such an editor is that information delivered in this way should minimize interruption, and that the system should incrementally present more in-depth information only when the developer requests it [33].…”

Section: Motivation To Search Existing Codementioning

confidence: 99%

Unweaving Code Search Toward Remixing-Centered Programming Support

Nakakoji

Yamamoto

Nishinaka

2013

Finding Source Code on the Web for Remix and Reuse

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Recognizing that programming is basically remixing, this chapter looks into the cognitive, social, and practical aspects of searching for and using existing code in a programming task. A code search mechanism undoubtedly plays an essential supporting role in a developers search for code in his or her own programming task. Supporting code search activities, however, demands more than code search mechanisms. At the same time, code search mechanisms also help a developer in a wider spectrum of programming activities. We present the anatomy of the cognitive activity in which a developer searches for existing code, and we propose efficacy and attitude as two dimensions depicting code search activity. We discuss areas of necessary technical and socio-technical support for code search activities in addition to code search mechanisms. We conclude the chapter by calling for a developercentered remixing-oriented development environment.

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“…In [24], Etzkorn and Davis introduced Patricia, a system that uses heuristic methods to identify reusable software components through understanding comments and identifiers. Similarly, CodeBroker utilizes knowledge from comments and code identifiers to find software components that can be reused [25].…”

Section: Information Extractionmentioning

confidence: 99%

Source code indexing for automated tracing

Mahmoud

Niu

2011

Proceedings of the 6th International Workshop on Traceability in Emerging Forms of Software Engineering

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Requirements-to-source-code traceability employs information retrieval (IR) methods to automatically link requirements to the source code that implements them. A crucial step in this process is indexing, where partial and important information from the software artifacts is converted into a representation that is compatible with the underlying IR model. Source code demands special attention in the indexing process. In this paper, we investigate source code indexing for supporting automatic traceability. We introduce a feature diagram that captures the key components and their relationships in the domain of source code indexing. We then present an experiment to examine the features of the diagram and their dependencies. Results show that utilizing comments has a significant effect on traceability link generation, and stemming is required when comments are considered.

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Reuse-Conducive Development Environments

Cited by 69 publications

References 67 publications

CodeRAnts: A recommendation method based on collaborative searching and ant colonies, applied to reusing of open source code

CodeRAnts: A recommendation method based on collaborative searching and ant colonies, applied to reusing of open source code

Unweaving Code Search Toward Remixing-Centered Programming Support

Source code indexing for automated tracing

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