#Mucommander ant build file software#
It plays a key role in many software maintenance tasks and a wide variety of Feature Location Techniques (FLTs), which rely on source code structure or textual analysis, have been proposed by researchers. įeature location (FL) is the task of finding the source code that implements a specific, user-observable functionality in a software system. In addition, we describe in detail the methodology used for generating these benchmarks and provide a suite of tools in order to encourage other researchers to validate our datasets and generate new benchmarks for other subject software systems. Four of the benchmarks were already used in several SE research papers, and two of them are new. These datasets consist of textual description of change requests, the locations in the source code where they were implemented, and execution traces.
In this data paper we describe and make publicly available a set of benchmarks from six Java applications, which can be used in the evaluation of various software engineering (SE) tasks, such as feature location and impact analysis. However, oftentimes the lack of well-established sets of benchmarks leads to situations where these approaches are evaluated using different datasets, which results in biased comparisons. Approaches that support software maintenance need to be evaluated and compared against existing ones, in order to demonstrate their usefulness in practice.
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