Building Tools for Software Engineering With Artificial Intelligence Techniques

Nardi, Daniele; Tucci, M.

doi:10.1080/08839519008927952

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…O uso de técnicas de IA para criar ferramentas inteligentes de apoio aos processos de Engenharia de Software tem sido objeto de estudo de muitos pesquisadores [35][36] [43]. Contudo, ainda hoje, diversos obstáculos precisam ser superados para criar ferramentas de apoio inteligente.…”

Section: B Segundo Desafio -Ferramentas Cientes De Conhecimento Paraunclassified

Ontology Driven Software Engineering: A Review of Challenges and Opportunities

Isotani

Bittencourt

Barbosa

et al. 2015

IEEE Latin Am. Trans.

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Abstract-Ontologies are formal representations of knowledge about a given domain. Based on them, it is possible to create more expressive knowledge bases that can be shared, extended and reused in different scenarios. In software engineering, ontologies can contribute in many different ways to improve the models, methods, techniques and processes of software development. Nevertheless, the use and benefits of ontologies and Semantic Web technologies in Software Engineering is spread across several articles and books available in the literature. In this context, this paper aims at compiling and presenting the research findings and potential benefits when applying ontologies to address three major challenges in software engineering: (1) difficulty in communicating and sharing information; (2) effective management of software development phases; and (3) development techniques and environments to support the production of semantic software through an interdisciplinary approach. We believe that the review of the literature and discussions presented in this work can contribute to disseminate best practices of using ontologies in software development as well as to give directions about this field of research, its challenges and opportunities.

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Section: B Segundo Desafio -Ferramentas Cientes De Conhecimento Paraunclassified

Ontology Driven Software Engineering: A Review of Challenges and Opportunities

Isotani

Bittencourt

Barbosa

et al. 2015

IEEE Latin Am. Trans.

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“…More complex approaches are possible, using a logic programming language to implement non standard logics able to reason with special features of a software system. For instance, in 71 it is described SCAV, an access and version control system including a reasoning tool based on temporal logic and realized in Prolog. Temporal reasoning is used to manage the version history of a software project, aiming at minimizing storage requirements of the set of modules created during the development.…”

Section: Programming-in-the-largementioning

confidence: 99%

What is Logic Programming good for in Software Engineering?

Ciancarini

Levi

1993

Advances in Software Engineering and Knowledge Engineering

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It has been argued that logic programming will survive only insofar as useful applications can be built and proved effective, implicitly affirming that such applications have not yet been built. We show that from the perspective of a software engineer logic programming offers several methods and techniques that are useful for his work. Thus, we overview the main features of logic programming from the point of view of software engineering, and summarize some approaches to the design and the prototyping of logic programming based software engineering applications.

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Building Tools for Software Engineering With Artificial Intelligence Techniques

Cited by 2 publications

References 11 publications

Ontology Driven Software Engineering: A Review of Challenges and Opportunities

Ontology Driven Software Engineering: A Review of Challenges and Opportunities

What is Logic Programming good for in Software Engineering?

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