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Publication search results
found 23 matches
- 2024
- Md. Rakibul Islam, Md. Fazle Rabbi, Youngeun Jo, Arifa I. Champa, Ethan Young, Camden Wilson, Gavin Scott, Minhaz Fahim Zibran:
A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering. MSR 2024: 487-491 - 2023
- Elife Öztürk Kiyak:
Application of data mining techniques in software engineering (Yazılım mühendisliğinde veri madenciliği tekniklerinin uygulanması). Dokuz Eylül University, Turkey, 2023 - 2017
- Colin M. Werner, Daniel M. Berry:
An Empirical Study of the Software Development Process, Including Its Requirements Engineering, at Very Large Organization: How to Use Data Mining in Such a Study. APRES 2017: 15-25 - Sujit Kumar Chakrabarti, Anh Nguyen-Duc:
Joint Proceedings of the 3rd Modelling Symposium (ModSym), Developmental Aspects of Intelligent Adaptive Systems (DIAS), and Educational Data Mining Practices in Indian Academia (EDUDM) co-located with 10th Innovations in Software Engineering (ISEC 2017), Jaipur, India, February 5, 2017. CEUR Workshop Proceedings 1819, CEUR-WS.org 2017 [contents] - Jelber Sayyad-Shirabad:
Predictive Techniques in Software Engineering. Encyclopedia of Machine Learning and Data Mining 2017: 992-1000 - 2016
- Leandro L. Minku, Emilia Mendes, Burak Turhan:
Data mining for software engineering and humans in the loop. Prog. Artif. Intell. 5(4): 307-314 (2016) - Abram Hindle:
The perils of energy mining. Perspectives on Data Science for Software Engineering 2016: 97-102 - Sascha Just, Kim Herzig:
Gotchas from mining bug reports. Perspectives on Data Science for Software Engineering 2016: 261-265 - Massimiliano Di Penta:
Combining quantitative and qualitative methods (when mining software data). Perspectives on Data Science for Software Engineering 2016: 205-211 - Andreas Zeller:
Mining apps for anomalies. Perspectives on Data Science for Software Engineering 2016: 37-42 - 2015
- Huishi Yin:
A study plan: open innovation based on internet data mining in software engineering. ICSSP 2015: 192-193 - Junping Song, Haibo Wang, Pin Lv, Shangzhou Li, Menglu Xu:
A Data Mining Based Publish/Subscribe System over Structured Peer-to-Peer Networks. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015: 1-15 - 2014
- Kim Herzig, Andreas Zeller:
Mining Bug Data - A Practitioner's Guide. Recommendation Systems in Software Engineering 2014: 131-171 - Tim Menzies:
Data Mining. Recommendation Systems in Software Engineering 2014: 39-75 - 2011
- Maria Halkidi, Diomidis Spinellis, George Tsatsaronis, Michalis Vazirgiannis:
Data mining in software engineering. Intell. Data Anal. 15(3): 413-441 (2011) - 2010
- Robert J. Hall:
Editorial: data mining in software engineering. Autom. Softw. Eng. 17(4): 373-374 (2010) - Quinn C. Taylor, Christophe G. Giraud-Carrier, Charles D. Knutson:
Applications of data mining in software engineering. Int. J. Data Anal. Tech. Strateg. 2(3): 243-257 (2010) - 2009
- Gary D. Boetticher:
From software engineer to day trader in 3 easy steps: a comparison of software engineering (SE) data mining with financial data mining. PROMISE 2009: 14 - Roman Neruda:
Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2009: 271-281 - 2008
- B. Chandra Mohan, R. Sandeep, D. Sridharan:
A Data Mining Approach for Predicting Reliable Path for Congestion Free Routing Using Self-motivated Neural Network. Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2008: 237-246 - 2004
- Mira Kajko-Mattsson, Ned Chapin:
Data Mining For Validation In Software Engineering: An Example. Int. J. Softw. Eng. Knowl. Eng. 14(4): 407-427 (2004) - Adem Karahoca:
Data mining via cellular neural networks in the GSM sector. IASTED Conf. on Software Engineering and Applications 2004: 19-24 - 2003
- Ned Chapin, Mira Kajko-Mattsson:
Validative measurement in software engineering: a data mining example. SEKE 2003: 626-633
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retrieved on 2024-09-25 14:32 CEST from data curated by the dblp team
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