2015 IEEE/ACM 4th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering

17-17 May 2015

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  • [Title page i]

    Publication Year: 2015, Page(s): i
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  • [Title page iii]

    Publication Year: 2015, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2015, Page(s): iv
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  • Table of contents

    Publication Year: 2015, Page(s): v
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  • Message from the Chairs

    Publication Year: 2015, Page(s): vi
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  • Committees and reviewers

    Publication Year: 2015, Page(s):vii - viii
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  • Sponsors and supporters

    Publication Year: 2015, Page(s): ix
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  • Mining Enterprise Models for Knowledgeable Decision Making

    Publication Year: 2015, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (996 KB) | HTML iconHTML

    Knowledge is stored in an enterprise in various forms ranging from unstructured operational data, legal documents to structured information like programs, as well as relational data stored in databases to semi-structured information stored in xml files. All these information if viewed from a holistic standpoint can help an enterprise to understand and reflect upon itself and thereby make knowledge... View full abstract»

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  • Text Understanding for Programming in Natural Language: Control Structures

    Publication Year: 2015, Page(s):7 - 12
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (132 KB) | HTML iconHTML

    We investigate how natural languages such as English can be used as programming languages. Often, in natural language (as well as in programming) different actions happen at the same time or are repeated. In natural language we just say what is going to happen -- in programming we use control structures. Story lines without equivalent language/phrase structures are unnatural and programs without c... View full abstract»

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  • Clustering Source Code Elements by Semantic Similarity Using Wikipedia

    Publication Year: 2015, Page(s):13 - 18
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB) | HTML iconHTML

    For humans it is no problem to determine if two words have a high or low semantic similarity in a given context. But is it possible to support a software developer or architect by using semantic data extracted from source code in the same way other relations like typical source code relations do? To answer this question we developed an approach to compute the semantic similarity by using Wikipedia... View full abstract»

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  • Black-Box Test Generation from Inferred Models

    Publication Year: 2015, Page(s):19 - 24
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    Automatically generating test inputs for components without source code (are 'black-box') and specification is challenging. One particularly interesting solution to this problem is to use Machine Learning algorithms to infer testable models from program executions in an iterative cycle. Although the idea has been around for over 30 years, there is little empirical information to inform the choice ... View full abstract»

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  • Recommending Features and Feature Relationships from Requirements Documents for Software Product Lines

    Publication Year: 2015, Page(s):25 - 31
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (551 KB) | HTML iconHTML

    Feature models are a key element in software product lines, representing the supported features and their interrelationships within a family of software products. Recommendation systems for software engineering (RSSEs) are potentially useful in supporting the extraction, maintenance, and categorization of feature models. This paper focuses on the design and implementation of an RSSE to automatical... View full abstract»

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  • Towards Interpretable Defect-Prone Component Analysis Using Genetic Fuzzy Systems

    Publication Year: 2015, Page(s):32 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB) | HTML iconHTML

    The problem of Software Reliability Prediction is attracting the attention of several researchers during the last few years. Various classification techniques are proposed in current literature which involve the use of metrics drawn from version control systems in order to classify software components as defect-prone or defect-free. In this paper, we create a novel genetic fuzzy rule-based system ... View full abstract»

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  • Author index

    Publication Year: 2015, Page(s): 39
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  • [Publisher's information]

    Publication Year: 2015, Page(s): 40
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