Metric Pictures: Source Code Images for Visualization, Analysis and Elaboration

S. Murad (), I. Passero () and R. Francese ()
Additional contact information
S. Murad: University of Salerno
I. Passero: University of Salerno
R. Francese: University of Salerno

A chapter in Information Technology and Innovation Trends in Organizations, 2011, pp 279-287 from Springer

Abstract: Abstract Source code tracking, analysis and comprehension are difficult tasks because of the complex nature of software. Source code metrics evaluate some aspects of software artefacts and provide synthetic measures related to the examined characteristics. In this paper, we introduce an approach for obtaining raster images starting from source code metrics. With this method, the paper presents some images obtained from different releases of a software product and starts a preliminary discussion on how these images can be useful for underlining interesting features of analyzed code and for improving the software development process. Indeed IE best practices, when applied to source code metrics as proposed, may suggest a way to change or hybridize the classical point of view on code, providing both a way to visualize metric information and alternative approaches to operate on these data.

Keywords: Source Code; Tree Ring; Software Development Process; Software Metrics; Software Artefact (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2632-6_32

Ordering information: This item can be ordered from
http://www.springer.com/9783790826326

DOI: 10.1007/978-3-7908-2632-6_32

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().