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Publicaciones

  • Thesaurus-Based Automatic Query Expansion for Interface-Driven Code Searc

    Software engineers often resort to code search practices to software maintenance and evolution tasks, in particular code reuse. An issue that affects code search is the vocabulary mismatch problem: while searching for a particular function, s have to guess the exact words that were chosen by original developers to name code entities. In this paper we present an automatic query expansion (AQE) approach that uses word relations to increase the chances of finding relevant code. The…

    Software engineers often resort to code search practices to software maintenance and evolution tasks, in particular code reuse. An issue that affects code search is the vocabulary mismatch problem: while searching for a particular function, s have to guess the exact words that were chosen by original developers to name code entities. In this paper we present an automatic query expansion (AQE) approach that uses word relations to increase the chances of finding relevant code. The approach is applied on top of Test-Driven Code Search (TDCS), a promising code retrieval technique that uses test cases as inputs to formulate the search query, but can also be used with other techniques that handle interface definitions to produce queries (interface-driven code search). Since these techniques rely on keywords and types, the vocabulary mismatch problem is also relevant. AQE is carried out by leveraging WordNet, a type thesaurus for expanding types, and another thesaurus containing only software-related word relations. Our approach is general but was specifically designed for non-native English speakers, who are frequently unaware of the most common used to name functions in software. Our evaluation with 36 non-native subjects - including developers and senior Computer Science students - provides evidence that our approach can improve the chances of finding relevant functions by 41% (recall improvement of 30%, on average), without hurting precision.

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  • Visualization, Analysis, and Testing of Java and AspectJ Programs with Multi-level System Graphs

    SBES 2013



    Several software development techniques involve the generation of graph-based representations of a program created via static analysis. Some tasks, such as integration testing, require the creation of models that represent several parts of the system, and not just a single component or unit (e.g., unit testing). Besides being a basis for testing and other analysis techniques, an interesting feature of these models is that they can be used for visual navigation and understanding of the…



    Several software development techniques involve the generation of graph-based representations of a program created via static analysis. Some tasks, such as integration testing, require the creation of models that represent several parts of the system, and not just a single component or unit (e.g., unit testing). Besides being a basis for testing and other analysis techniques, an interesting feature of these models is that they can be used for visual navigation and understanding of the software system. However, the generation of such models - henceforth called system graphs - is usually costly, because it involves the reverse engineering and analysis of the whole system, many times done upfront. A possible solution for such a problem is to generate the graph on demand, that is, to postpone detailed analyses to when the really needs it. The main idea is to start from the package structure of the system, representing dependencies at a high level, and to make control flow and other detailed analysis interactively and on demand. In this paper we use this idea to define a model for the visualization, analysis, and structural testing of object oriented(OO) and aspect-oriented (AO) programs. The model is called Multi-Level System Graph (MLSG), and is implemented in a prototype tool based on Java and AspectJ named SysGraph4AJ(for Multi-Level System Graphs for AspectJ). To evaluate the applicability of SysGraph4AJ with respect to performance, we performed a study with three AspectJ programs, comparingSysGraph4AJ with a similar tool. Results indicate the feasibility of the approach, and its potential in helping developers better understand and test OO and AO Java programs. In particular, SysGraph4AJ performed around an order of magnitude faster than the other tool.

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