Abstract is missing.
- An architecture smell knowledge base for managing architecture technical debtPaula Rachow, Matthias Riebisch. 1-10 [doi]
- Code red: the business impact of code quality - a quantitative study of 39 proprietary production codebasesAdam Tornhill, Markus Borg. 11-20 [doi]
- Comprehending the use of intelligent techniques to support technical debt managementDanyllo Albuquerque, Everton Guimarães, Graziela Tonin, Mirko Barbosa Perkusich, Hyggo Oliveira de Almeida, Angelo Perkusich. 21-30 [doi]
- Investigating the point of view of project management practitioners on technical debt: a preliminary study on stack exchangeFelipe G. S. Gomes, Eder Pereira dos Santos, Sávio Freire, Manoel G. Mendonça, Thiago Souto Mendes, Rodrigo O. Spínola. 31-40 [doi]
- PILOT: synergy between text processing and neural networks to detect self-admitted technical debtAmleto Di Salle, Alessandra Rota, Phuong T. Nguyen, Davide Di Ruscio, Francesca Arcelli Fontana, Irene Sala. 41-45 [doi]
- Technical debt prioritization: a developer's perspectiveDiogo Pina, Carolyn Seaman, Alfredo Goldman. 46-55 [doi]
- Towards measuring the aggregated debt of trustworthiness levelImanol Urretavizcaya, Nuria Quintano, Jabier Martinez. 56-60 [doi]
- Merging smell detectors: evidence on the agreement of multiple toolsApostolos Ichtsis, Nikolaos Mittas, Apostolos Ampatzoglou, Alexander Chatzigeorgiou. 61-65 [doi]
- MultiDimEr: a multi-dimensional bug analyzErLakmal Silva, Michael Unterkalmsteiner, Krzysztof Wnuk. 66-70 [doi]
- Sonarlizer xplorer: a tool to mine github projects and identify technical debt items using SonarQubeDiogo Pina, Alfredo Goldman, Carolyn Seaman. 71-75 [doi]
- TD classifier: automatic identification of Java classes with high technical debtDimitrios Tsoukalas, Alexander Chatzigeorgiou, Apostolos Ampatzoglou, Nikolaos Mittas, Dionysios D. Kehagias. 76-80 [doi]