A Survey on Code Analysis Tools for Software Maintenance Prediction
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | SEDA 2018 |
| Subtitle of host publication | Proceedings of 6th International Conference in Software Engineering for Defence Applications |
| Publisher | Springer |
| Pages | 165-175 |
| ISBN (Electronic) | 978-3-030-14687-0 |
| ISBN (Print) | 978-3-030-14686-3 |
| DOIs | |
| Publication status | Published - Jun 2018 |
| Publication type | A4 Article in a conference publication |
| Event | International Conference on Software Engineering for Defence Applications - Rome, Rome, Italy Duration: 7 Jun 2018 → 8 Jun 2018 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 925 |
| ISSN (Print) | 2194-5357 |
| ISSN (Electronic) | 2194-5365 |
Conference
| Conference | International Conference on Software Engineering for Defence Applications |
|---|---|
| Country | Italy |
| City | Rome |
| Period | 7/06/18 → 8/06/18 |
Abstract
Software maintenance is a widely studied area of software engineering that it is particularly important in safety-critical and mission-critical applications where defects may have huge impact and code needs to be checked carefully through the analysis of data collected using a number of tools developed to investigate specific aspects. However, such tools are often not available to practitioners preventing them from applying the most recent and advanced approaches to industrial projects. This paper is an initial investigation about code analysis tools used to perform research studies on software maintenance prediction. We focus on the identification of tools that are available and can be used by practitioners to apply the same maintenance approaches described in published academic papers.
Publication forum classification
Field of science, Statistics Finland
Downloads statistics
No data available