Interactive Visualization of Differences between Software Model Versions

Ondik, Jakub; Rástočný, Karol

doi:10.5220/0007345502640271

Cited by 1 publication

(1 citation statement)

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“…Besides, visualization of the results produced by software analytics is considered important nowadays [81,19]. Also, recent studies have highlighted the importance of visualizing the differences between the versions of software models [61]. Thus, the proposed BBs stack for software analytics has provisions to augment with new BBs that could be used to facilitate the visualization aspects of software analytics experiments.…”

Section: Extensibility Of Experiments Testbed For Software Engineering Experimentsmentioning

confidence: 99%

What is Your Code Clone Detection and Evolution Research Made Of?

Wijesiriwardana

Wimalaratne

2021

cai

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Over the past few decades, clone detection and evolution have become a major area of study in software engineering. Clone detection experiments present several challenges to researchers such as accurate data collection, selecting proper code detection algorithms, and understanding clone evolution phenomena. This paper attempts to facilitate clone detection and evolution research by providing a structured and systematic mechanism to conduct experiments. Clone detection experiments usually consist of several tasks such as fetching data from a version control system, performing necessary pre-processing activities, and feeding the data to a clone detection algorithm. Therefore, a particular clone detection experiment can interpret as a meaningful combination of such tasks into a scientific workflow. In this work, the concrete tasks in a code clone detection workflow are referred to as Building Blocks. This paper presents a useful collection of Building Blocks identified based on a systematic literature review, and a conceptual framework of an experimental testbed to facilitate clone detection experiments. The reusability of the Building Blocks was validated using four case studies selected from the literature. The validation results confirm the reusability and the expressiveness of the Building Blocks in new ventures. Besides, the proposed experimental testbed is proven beneficial in conducting and replicating clone detection experiments.

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Section: Extensibility Of Experiments Testbed For Software Engineering Experimentsmentioning

confidence: 99%