default search action
QuASoQ/TDA@APSEC 2016: Hamilton, New Zealand
- Horst Lichter, Konrad Fögen, Thanwadee Sunetnanta, Toni Anwar, Aiko Yamashita, Leon Moonen, Tom Mens, Amjed Tahir, Ashish Sureka:
Joint Proceedings of the 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016) and 1st International Workshop on Technical Debt Analytics (TDA 2016) co-located with the 23rd Asia-Pacific Software Engineering Conference (APSEC 2016), Hamilton, New Zealand, December 6, 2016. CEUR Workshop Proceedings 1771, CEUR-WS.org 2016
4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ)
- Horst Lichter, Konrad Fögen, Thanwadee Sunetnanta, Toni Anwar:
Report on the 4th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2016). 1-3 - Hirohisa Aman, Sousuke Amasaki, Tomoyuki Yokogawa, Minoru Kawahara:
Local Variables with Compound Names and Comments as Signs of Fault-Prone Java Methods. 4-11 - Ahmed D. Alharthi, Maria Spichkova, Margaret Hamilton:
Sustainability Profiling of Long-living Software Systems. 12-19 - Richa Awasthy, Shayne Flint, Ramesh S. Sankaranarayana:
Towards improved Adoption: Effectiveness of Research Tools in the Real World. 20-26 - Lov Kumar, Santanu Kumar Rath, Ashish Sureka:
Predicting Quality of Service (QoS) Parameters using Extreme Learning Machines with Various Kernel Methods. 27-34 - Abdus Satter, Kazi Sakib:
Improving Recall in Code Search by Indexing Similar Codes under Proper Terms. 35-42 - Eun-Hye Choi, Osamu Mizuno, Yifan Hu:
Code Coverage Analysis of Combinatorial Testing. 43-49 - Lucas Gren, Alfredo Goldman:
Trying to Increase the Mature Use of Agile Practices by Group Development Psychology Training - An Experiment. 50-57
1st International Workshop on Technical Debt Analytics (TDA)
- Aiko Yamashita, Leon Moonen, Tom Mens, Amjed Tahir:
Report on the First International Workshop on Technical Debt Analytics (TDA 2016). 58-63 - Norihiro Yoshida:
When, Why and for Whom do Practitioners Detect Technical Debt? An Experience Report. 64-67 - Yasutaka Kamei, Everton da S. Maldonado, Emad Shihab, Naoyasu Ubayashi:
Using Analytics to Quantify Interest of Self-Admitted Technical Debt. 68-71 - Solomon Mensah, Jacky W. Keung, Michael Franklin Bosu, Kwabena Ebo Bennin:
Rework Effort Estimation of Self-admitted Technical Debt. 72-75 - Aabha Choudhary, Paramvir Singh:
Minimizing Refactoring Effort through Prioritization of Classes based on Historical, Architectural and Code Smell Information. 76-79 - Johannes Holvitie, Sherlock A. Licorish, Antonio Martini, Ville Leppänen:
Co-Existence of the 'Technical Debt' and 'Software Legacy' Concepts. 80-83 - Clemente Izurieta, Ipek Ozkaya, Carolyn B. Seaman, Philippe Kruchten, Robert L. Nord, Will Snipes, Paris Avgeriou:
Perspectives on Managing Technical Debt: A Transition Point and Roadmap from Dagstuhl. 84-87
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.