caa a22 4500 445835346 CHVBK 20180317145329.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s10515-011-0086-z doi (NATIONALLICENCE)springer-10.1007/s10515-011-0086-z Alattin: mining alternative patterns for defect detection [Elektronische Daten] [Suresh Thummalapenta, Tao Xie] To improve software quality, static or dynamic defect-detection tools accept programming rules as input and detect their violations in software as defects. As these programming rules are often not well documented in practice, previous work developed various approaches that mine programming rules as frequent patterns from program source code. Then these approaches use static or dynamic defect-detection techniques to detect pattern violations in source code under analysis. However, these existing approaches often produce many false positives due to various factors. To reduce false positives produced by these mining approaches, we develop a novel approach, called Alattin, that includes new mining algorithms and a technique for detecting neglected conditions based on our mining algorithm. Our new mining algorithms mine patterns in four pattern formats: conjunctive, disjunctive, exclusive-disjunctive, and combinations of these patterns. We show the benefits and limitations of these four pattern formats with respect to false positives and false negatives among detected violations by applying those patterns to the problem of detecting neglected conditions. Springer Science+Business Media, LLC, 2011 Alternative patterns nationallicence Static defect detection nationallicence Mining software engineering data nationallicence Code search engine nationallicence Thummalapenta Suresh Department of Computer Science, North Carolina State University, Raleigh, NC, USA aut Xie Tao Department of Computer Science, North Carolina State University, Raleigh, NC, USA aut Automated Software Engineering Springer US; http://www.springer-ny.com 18/3-4(2011-12-01), 293-323 0928-8910 18:3-4<293 2011 18 10515 https://doi.org/10.1007/s10515-011-0086-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10515-011-0086-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Thummalapenta Suresh Department of Computer Science, North Carolina State University, Raleigh, NC, USA aut NATIONALLICENCE 700 1- Xie Tao Department of Computer Science, North Carolina State University, Raleigh, NC, USA aut NATIONALLICENCE 773 0- Automated Software Engineering Springer US; http://www.springer-ny.com 18/3-4(2011-12-01), 293-323 0928-8910 18:3-4<293 2011 18 10515 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer