Production and test code co-evolution is known to result in high quality, maintainable, more sustainable software artifacts. This report discusses the challenges and experiences obtained in the transformation from a t...
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ISBN:
(纸本)9781538664926
Production and test code co-evolution is known to result in high quality, maintainable, more sustainable software artifacts. This report discusses the challenges and experiences obtained in the transformation from a traditional development process, where most of the testing has been conducted manually and in a subsequent development step, to an agile development process that enforces a certain number of test code coverage by automated tests. Within an industrial project we analyze the deviations from the aimed co-evolution path by means of customized visualizations and list and discuss the observed challenges.
Software systems are characterized by continual change which often occurs concurrently across various artifact types. For example, changes may be initiated at the requirements, design, or sourcecode level. Understand...
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ISBN:
(纸本)9781509001224
Software systems are characterized by continual change which often occurs concurrently across various artifact types. For example, changes may be initiated at the requirements, design, or sourcecode level. Understanding patterns of co-evolution across requirements and sourcecode provides fundamental building blocks for automating software engineering activities such as trace link creation and evolution, requirements analysis and maintenance, refactoring detection, and the generation of task recommendations. However, prior work has focused almost entirely on the evolution of individual artifact types such as requirements, design, or sourcecode. In this paper we document patterns of co-evolution that occur between requirements and sourcecode. We illustrate the utility of the patterns for detecting missing requirements and for evolving requirements to sourcecode trace links.
Topics are collections of words that co-occur frequently in a text corpus. Topics have been found to be effective tools for describing the major themes spanning a corpus. Using such topics to describe the evolution of...
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ISBN:
(纸本)9780769541785
Topics are collections of words that co-occur frequently in a text corpus. Topics have been found to be effective tools for describing the major themes spanning a corpus. Using such topics to describe the evolution of a software system's sourcecode promises to be extremely useful for development tasks such as maintenance and re-engineering. However, no one has yet examined whether these automatically discovered topics accurately describe the evolution of sourcecode, and thus it is not clear whether topic models are a suitable tool for this task. In this paper, we take a first step towards determining the suitability of topic models in the analysis of software evolution by performing a qualitative case study on 12 releases of JHotDraw, a well studied and documented system. We define and compute various metrics on the identified topics and manually investigate how the metrics evolve over time. We find that topic evolutions are characterizable through spikes and drops in their metric values, and that the large majority of these spikes and drops are indeed caused by actual change activity in the sourcecode. We are thus encouraged by the use of topic models as a tool for analyzing the evolution of software.
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