What do you know about the quality of the software you are using? A well-known conjecture in software engineering is that external quality characteristics are correlated to internal quality characteristics and thus the measurement of source code provides useful data for the assessment of its quality. Uniquely, open source software allows us to examine the actual code and perform white box testing and analysis of it. In most open source projects we can also access their version control system, mailing lists and issue databases. We can use these data sources to extract quality indicators through techniques, such as data mining.
SQO-OSS aims to increase the competitiveness of European software development SMEs through a holistic approach of software quality assessment, initially targeting open source software. The project seeks to use as many sources of quality indicators as possible so as to create a set of metrics that can be applied automatically to a software project's repository in order to extract quantifiable measurements of its quality.
The project will deliver:
-A plug-in based quality assessment platform, featuring a web and an IDE front-end.
-An enhanced set of software metrics that will take into account quality indicators from data that is present in a project's repository, but not yet used for quality assessment.
-A publicly available league of open source software applications, categorised by their quality characteristics.
-A methodology that will allow European SMEs to leverage the availability of quality-assessed open source software in the development of horizontal and vertical applications and the provision of value-added services.
-Experience reports of how the tool's application affected a large open source project.
The project leverages existing tools and will also create new ones in an effort to build an integrated quality assessment platform. The core will be released as OSS under the BSD licence to stimulate business interest.
Field of science
- /natural sciences/computer and information sciences/software/software development
- /natural sciences/computer and information sciences/data science/data mining
- /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/automation and control systems
Funding SchemeSTREP - Specific Targeted Research Project
KT15 2SF Addlestone, Surrey