Software Evolution

Mens, Tom; Demeyer, Serge

doi:10.1007/978-3-540-76440-3

Cited by 144 publications

(113 citation statements)

References 13 publications

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“…An overview of C/C++ static analysis tools is given by Boerboom and Jassen [19]. Insights in software evolution and software quality metrics are given by Mens et al [20], Lanza et al [21], and Fenton et al [22].…”

Section: Related Workmentioning

confidence: 99%

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Reniers

Voinea

Ersoy

et al. 2014

Science of Computer Programming

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Software visual analytics (SVA) tools combine static program analysis and fact extraction with information visualization to support program comprehension. However, building efficient and effective SVA tools is highly challenging, as it involves extensive software development in program analysis, graphics, information visualization, and interaction. We present a SVA toolset for software maintenance, and detail two of its components which target software structure, metrics and code duplication. We illustrate the toolset's usage for constructing software visualizations with examples in education, research, and industrial contexts. We discuss the design evolution from research prototypes to integrated, scalable, and easy-to-use products, and present several guidelines for the development of efficient and effective SVA solutions.

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Section: Related Workmentioning

confidence: 99%

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Reniers

Voinea

Ersoy

et al. 2014

Science of Computer Programming

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“…Dynamics: Graphs describing human aspects, such as developer activity, change slowly, given the continuous nature of software evolution [69]. However, other SE graphs exhibit different dynamics.…”

Section: Actionsmentioning

confidence: 99%

Temporal Multivariate Networks

Archambault¹,

Abello²,

Kennedy³

et al. 2014

Lecture Notes in Computer Science

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Abstract. Networks that evolve over time, or dynamic graphs, have been of interest to the areas of information visualization and graph drawing for many years. Typically, its the structure of the dynamic graph that evolves as vertices and edges are added or removed from the graph. In a multivariate scenario, however, attributes play an important role and can also evolve over time. In this chapter, we characterize and survey methods for visualizing temporal multivariate networks. We also explore future applications and directions for this emerging area in the fields of information visualization and graph drawing.

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“…Kerunutan adalah properti dari desain dan pengembangan perangkat lunak yang menghubungkan setiap artefak abstrak dengan artefak teknis maupun sebaliknya (Mens, 2008). Pada proyek perangkat lunak skala besar, kerunutan sangat penting untuk mengetahui hubungan kerunutan antar artefak dalam fase-fase yang berbeda (analisis kebutuhan, desain, dan implementasi).…”

Section: Hubungan Kerunutanunclassified