Name
Abstract | ||
|---|---|---|
Besides source code, the fundamental source of information about open source software lies in documentation, and other non source code files, like README, INSTALL, or How-To files, commonly available in the software ecosystem. These documents, written in natural language, provide valuable information during the software development stage, but also in future maintenance and evolution tasks. DMOSS3 is a toolkit designed to systematically assess the quality of non source code content found in software packages. The toolkit handles a package as an attribute tree, and performs several tree traverse algorithms through a set of plugins, specialized in retrieving specific metrics from text, gathering information about the software. These metrics are later used to infer knowledge about the software, and composed together to build reports that assess the quality of specific features. This paper discusses the motivations for this work, continues with a description of the toolkit implementation and design goals. This is followed by an example of its usage to process a software package, and the produced report. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.2298/CSIS131005027C | COMPUTER SCIENCE AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
open source,documentation analysis,data mining | Codebase,Data mining,Software engineering,Software analytics,Computer science,Package development process,Software system,Software visualization,Software construction,Software quality,Database,Software development | Journal |
Volume | Issue | ISSN |
11 | SP4 | 1820-0214 |
Citations | PageRank | References |
1 | 0.35 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nuno Ramos Carvalho | 1 | 18 | 4.94 |
| Alberto Simões | 2 | 57 | 21.73 |
| José João Almeida | 3 | 60 | 21.83 |