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1 - 10 of 13
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 Ensemble learning: pattern classification using ensemble methods (2nd ed.)
Rokach L., World Scientific Publishing Co Pte Ltd, Hackensack, NJ, 2019. 302 pp. Type: Book
Like other subtopics of machine learning, pattern classification aims to find regularities in data through the use of learning methods. A pattern comprehends a collection of features and a concept that represents the observations of ea...
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Feb 6 2020 |
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A study on software fault prediction techniques
Rathore S., Kumar S. Artificial Intelligence Review 51(2): 255-327, 2019. Type: Article
Software developers and managers struggle with the increasing number of software problems and defects. Such problems can rapidly increase the costs of software maintenance and development. Traditional defect management models cannot de...
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Jun 24 2019 |
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Feature engineering for machine learning and data analytics
Dong G., Liu H., CRC Press, Inc., Boca Raton, FL, 2018. 418 pp. Type: Book (978-1-138744-38-7)
“Machine learning,” “data analytics,” “pattern recognition,” “data mining,” “knowledge discovery in databases,” and “artifici...
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Mar 25 2019 |
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A robust machine learning technique to predict low-performing students
Liao S., Zingaro D., Thai K., Alvarado C., Griswold W., Porter L. ACM Transactions on Computing Education (TOCE) 19(3): 1-19, 2019. Type: Article
Academic failure is one of the most important problems in higher education institutions around the world. In a continuous cycle, universities admit new students and graduate others, but the road to success in academia is teeming with f...
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Mar 20 2019 |
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Evaluating and improving fault localization
Pearson S., Campos J., Just R., Fraser G., Abreu R., Ernst M., Pang D., Keller B. ICSE 2017 (Proceedings of the 39th International Conference on Software Engineering, Buenos Aires, Argentina, May 20-28, 2017) 609-620, 2017. Type: Proceedings
We rarely see a software engineering paper that aims to prove a point from multiple views. Even better, this study not only refutes prior finds in the fault localization research field, but also proposes a combination of techniques tha...
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Apr 20 2018 |
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TravisTorrent: synthesizing Travis CI and GitHub for full-stack research on continuous integration
Beller M., Gousios G., Zaidman A. MSR 2017 (Proceedings of the 14th International Conference on Mining Software Repositories, Buenos Aires, Argentina, May 20-28, 2017) 447-450, 2017. Type: Proceedings
When it comes to software engineering, it is not new that industry plays an important (if not the most important) role in leveraging innovation in the field. But it is also true that some innovations lack a deep understanding of the be...
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Jan 4 2018 |
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On the correlation between size and metric validity
Gil Y., Lalouche G. Empirical Software Engineering 22(5): 2585-2611, 2017. Type: Article
“If you can’t measure it, you can’t manage it.” Not so fast! Internal software metrics, or code metrics, have their history in software engineering. We love to measure software development becaus...
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Dec 14 2017 |
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Do not trust build results at face value: an empirical study of 30 million CPAN builds
Zolfagharinia M., Adams B., Guéhéneuc Y. MSR 2017 (Proceedings of the 14th International Conference on Mining Software Repositories, Buenos Aires, Argentina, May 20-28, 2017) 312-322, 2017. Type: Proceedings
Released software products are pretty much expected to work under a user’s environment. However, the many combinations of different operating systems, runtime environments, and hardware architectures where the software ought ...
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Nov 2 2017 |
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A survey on malware detection using data mining techniques
Ye Y., Li T., Adjeroh D., Iyengar S. ACM Computing Surveys 50(3): 1-40, 2017. Type: Article
It is not new that software is eating the world [1]. Industries and businesses everywhere are being “softwareized.” Meanwhile, we cannot deny that malware (malicious software) is also having a feast. This paper prov...
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Sep 22 2017 |
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The continuity of continuous integration
Ståhl D., Mårtensson T., Bosch J. Journal of Systems and Software 127 150-167, 2017. Type: Article
Continuous integration (CI) systems push the compilation, building, and testing of software changes. Either your change is a success, or you failed. Surprisingly, the route to this binary model is implemented in industry projects in a ...
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Aug 17 2017 |
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