An Empirical Evaluation of the Relationship between Technical Debt and Software Security
Author(s)
Siavvas, Miltiadis
Tsoukalas, Dimitrios
Janković, Marija
Kehagias, Dionysios
Chatzigeorgiou, Alexander
Type
Dataset
Abstract
This dataset contains the static analysis results of 50 open source software applications retrieved from Github. The results were produced by using SonarQube, PMD, CKJM Extended and Findbugs tools. Further details can be found in the relevant publication:
Siavvas, M., Tsoukalas, D., Janković, M., Kehagias, D., Chatzigeorgiou, A., Tzovaras, D., Aničić, N., Gelenbe, E. An Empirical Evaluation of the Relationship between Technical Debt and Software Security. In: Konjović, Z., Zdravković, M., Trajanović, M. (Eds.) ICIST 2019 Proceedings Vol.1, pp.199-203, 2019
Siavvas, M., Tsoukalas, D., Janković, M., Kehagias, D., Chatzigeorgiou, A., Tzovaras, D., Aničić, N., Gelenbe, E. An Empirical Evaluation of the Relationship between Technical Debt and Software Security. In: Konjović, Z., Zdravković, M., Trajanović, M. (Eds.) ICIST 2019 Proceedings Vol.1, pp.199-203, 2019
Version
1.0
Date Issued
2019-08-22
Citation
2019
Copyright Statement
https://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Commission of the European Communities
Grant Number
780572
Is Referenced By
Subjects
software security
technical debt
vulnerability prediction
empirical study
static analysis
Notes
Grants: European Commission: SDK4ED - Software Development toolKit for Energy optimization and technical Debt elimination (780572)