Works (6)

Updated: July 5th, 2023 15:49

2011 journal article

Alattin: mining alternative patterns for defect detection

AUTOMATED SOFTWARE ENGINEERING, 18(3-4), 293–323.

By: S. Thummalapenta n & T. Xie n

author keywords: Alternative patterns; Static defect detection; Mining software engineering data; Code search engine
TL;DR: A novel approach to reduce false positives produced by existing mining approaches is developed, called Alattin, that includes new mining algorithms and a technique for detecting neglected conditions based on the authors' mining algorithm. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2011 journal article

Retrofitting unit tests for parameterized unit testing

Fundamental Approaches to Software Engineering, 6603, 294–309.

By: S. Thummalapenta, M. Marri, T. Xie, N. Tillmann & J. Halleux

Source: NC State University Libraries
Added: August 6, 2018

2010 journal article

An empirical study on the maintenance of source code clones

Empirical Software Engineering, 15(1), 1–34.

By: S. Thummalapenta, L. Cerulo, L. Aversano & M. Di Penta

Source: NC State University Libraries
Added: August 6, 2018

2010 conference paper

Dygen: Automatic generation of high-coverage tests via mining gigabytes of dynamic traces

Test and proofs, proceedings, 6143, 77–93.

By: S. Thummalapenta, J. Halleux, N. Tillmann & S. Wadsworth

Source: NC State University Libraries
Added: August 6, 2018

2009 article

Alattin: Mining Alternative Patterns for Detecting Neglected Conditions

2009 IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, PROCEEDINGS, pp. 283–294.

By: S. Thummalapenta n & T. Xie n

author keywords: code search; frequent itemset mining; alternative patterns
TL;DR: This work develops a novel approach, called Alattin, that includes a new mining algorithm and a technique for detecting neglected conditions based on the authors' mining algorithm, which helps reduce nearly 28% of false positives among detected violations. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2009 journal article

DATA MINING FOR SOFTWARE ENGINEERING

COMPUTER, 42(8), 55–62.

By: T. Xie n, S. Thummalapenta n, D. Lo* & C. Liu*

TL;DR: Various algorithms are presented to effectively mine sequences, graphs, and text from such data to improve software productivity and quality. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.