Visualizing software changes

Eick, S.G.; Graves, Todd L.; Karr, Alan F.; Mockus, Audris; Schuster, P.

doi:10.1109/tse.2002.995435

Cited by 81 publications

(51 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These techniques have been mapped onto different metaphors. Basic metaphors include: Bar Chart, Pie Charts, Graphs, Cityscapes, Matrix Views and Network Views [1,2]. A number of tools have been discussed in the literature that implements these techniques to visualize the structure of software from different perspectives.…”

Section: Related Workmentioning

confidence: 99%

SourceViz: A Tool for Supporting Software Metrics Visualization

Ilyas¹,

Bilal²,

Tariq³

et al. 2017

IJIEEB

View full text Add to dashboard Cite

Abstract-Maintaining and understanding large software systems is a complex and time consuming process. Understanding the internal structure of such systems is not an easy task due to the invisible nature of software. Source Code Visualization, i.e. measuring the code metrics and then visualizing them, provides an efficient solution to this problem. There are many tools available which gives an insight to the internal structure of the software. But all of them don"t provide visualizations of hierarchical relationships and code complexity of the source code. In this paper, we present a tool named "SourceViz". This application computes different software metrics, code complexity, class-relations and then visualizes the calculated metrics in different metaphors. This visual analysis assists the project managers and software developers in understanding the static structure of the software by presenting project-level as well as class-level view.

show abstract

Section: Related Workmentioning

confidence: 99%

SourceViz: A Tool for Supporting Software Metrics Visualization

Ilyas¹,

Bilal²,

Tariq³

et al. 2017

IJIEEB

View full text Add to dashboard Cite

show abstract

“…Concept Identification: Codebase is been used to associate with data warehouse or Repository to sense distinctions as predefined set of code [15]. Our technique is based on evidence combination of supervised and unsupervised methods using semantic mechanism [16].…”

Section: Wsd Based On Different Domainsmentioning

confidence: 99%

Software Dependency Estimation in the code Repositories for the Requirement Evolution

Balasubramanian¹,

Ahmed²

2015

Glob J Tech Opt

View full text Add to dashboard Cite

Dependency is the only means to ensure that the source code of a system is consistent with its requirements. During software maintenance and evolution, requirement dependency links become obsolete because dependency model is been not trained properly to updating them. Yet, recovering these dependency links later is a daunting and costly task for building the model for unsupervised enhancements. Consequently, the literature has proposed methods, techniques, and tools to recover these dependency links semi-automatically or automatically. Among the proposed techniques, the literature showed that information retrieval (IR) techniques can automatically recover traceability links between free-text requirements and source code through classification techniques to the Software repositories. However, IR techniques lack accuracy (precision and recall) in terms of Text and concept based mining also leads to code sense disambiguation. In this paper, we show that Semantic mining of software repositories and combining mined results with IR can improve the accuracy (precision and recall) of IR techniques. We apply Dependency Estimation on to compare the accuracy of its dependency links with those recovered using state-ofthe-art IR techniques from Vector Space model and Concept based mining. We thus show that mining software repositories and combining the mined data with existing results from IR techniques improves the precision and recall of requirement dependency links.

show abstract

“…Moreover, Eick et al [11] accurately state that a fundamental problem in visualizing software changes is to choose effective visual representations or metaphors and review some of them, as well as some combinations showing different data perspectives filtered by developer, basic statistics about changes, size of the changes, activity carry out by developer, etc.…”

Section: Related Workmentioning

confidence: 99%

The Use of Information Visualization to Support Software Configuration Management

Therón

González

Garcia

et al. 2007

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. This paper addresses the visualization of the collaboration history in the development of software items using a simple interactive representation called Revision Tree. The visualization presents detailed information on a single software item with the intention of supporting the awareness of the project managers and developers about the item evolution and the collaboration taking place on its development. We considered that repositories of Software Configuration Management tools are the best information source to extract relevant information dealing with the relationships between the programmers and software items, as well as information regarding the creation of baselines, branches and revisions, and useful date and time details for the arrangement of the development timeline and collaboration representation.

show abstract

Visualizing software changes

Cited by 81 publications

References 27 publications

SourceViz: A Tool for Supporting Software Metrics Visualization

SourceViz: A Tool for Supporting Software Metrics Visualization

Software Dependency Estimation in the code Repositories for the Requirement Evolution

The Use of Information Visualization to Support Software Configuration Management

Contact Info

Product

Resources

About