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Supporting Framework Use via Automatically Extracted Concept-Implementation Templates
"... Abstract. Application frameworks provide reusable concepts that are instantiated in application code through potentially complex implementation steps such as subclassing, implementing callbacks, and making calls. Existing applications contain valuable examples of such steps, except that locating the ..."
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Abstract. Application frameworks provide reusable concepts that are instantiated in application code through potentially complex implementation steps such as subclassing, implementing callbacks, and making calls. Existing applications contain valuable examples of such steps, except that locating them in the application code is often challenging. We propose the notion of concept implementation templates, which summarize the necessary implementation steps, and an approach to automatic extraction of such templates from traces of sample applications. We demonstrate the feasibility of the template extraction with high precision and recall through an empirical study with twelve realistic concepts from four widely-used frameworks. Finally, we report on a user experiment with twelve subjects in which the choice of templates vs. documentation had much less impact on development time than the concept complexity. 1
Mining implementation recipes of framework-provided concepts in dynamic framework API interaction traces
- In OOPSLA Companion, Tool Demonstration Track, 2007. 63 157 Abbas Heydarnoori, Krzysztof Czarnecki, and Thiago Tonelli
"... Application developers often use example applications as a guide to learn how to implement a framework-provided concept. To ease applying this technique, we present a novel framework comprehension technique called FUDA. FUDA integrates a new dynamic slicing approach with clustering and data mining t ..."
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Application developers often use example applications as a guide to learn how to implement a framework-provided concept. To ease applying this technique, we present a novel framework comprehension technique called FUDA. FUDA integrates a new dynamic slicing approach with clustering and data mining techniques to generate the implementation recipes of a desired concept.
Mining Implementation Recipes of Framework-Provided Concepts in Dynamic Framework API Interaction Traces
"... Application developers often apply the Monkey See/Monkey Do rule for framework-based application development, i.e., they use existing applications as a guide to understand how to implement a desired framework-provided concept (e.g., a context menu in an Eclipse view). However, the code that implemen ..."
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Application developers often apply the Monkey See/Monkey Do rule for framework-based application development, i.e., they use existing applications as a guide to understand how to implement a desired framework-provided concept (e.g., a context menu in an Eclipse view). However, the code that implements the concept of interest might be scattered across and tangled with code implementing other concepts. To address this issue, we introduce a novel framework comprehension technique called FUDA (Framework API Understanding through Dynamic Analysis). The main idea of this technique is to extract the implementation recipes of a given framework-provided concept from dynamic traces with the help of a dynamic slicing approach integrated with clustering and data mining techniques. In this demonstration, we present the prototype implementation of FUDA as two Eclipse plug-ins, and use them to generate the implementation recipes for a number of concepts in Eclipse views and GEF editors by using only a few example applications.
Feature Model Mining
"... I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Software systems have grown larger and more complex in ..."
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I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Software systems have grown larger and more complex in recent years. Generative software development strives to automate software development from a systems family by generating implementations using domain-specific languages. In current practice, specifying domain-specific languages is a manual task requiring expert analysis of multiple information sources. Furthermore, the concepts and relations represented in a language are grown through its usage. Keeping the language consistent with its usage is a time-consuming process requiring manual comparison between the language instances and its language specification. Feature model mining addresses these issues by synthesizing a representative model bottom-up from a sample set of instances called configurations. This thesis presents a mining algorithm that reverse-engineers a probabilistic feature
