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Volume 1 | Issue 2 | Year 2011 | Article Id. IJCOT-V1I2P303 | DOI : https://doi.org/10.14445/22492593/IJCOT-V1I2P303
Data Mining Approach in Software Analysis
S.Suyambu Kesavan , Dr.K.Alagarsamy
Citation :
S.Suyambu Kesavan , Dr.K.Alagarsamy, "Data Mining Approach in Software Analysis," International Journal of Computer & Organization Trends (IJCOT), vol. 1, no. 2, pp. 11-14, 2011. Crossref, https://doi.org/10.14445/22492593/ IJCOT-V1I2P303
Abstract
Data mining and knowledge discovery have proved to be valuable tools in various domains such as production, health care and management. Data mining also has potential to address some highly challenging areas of software engineering such as adaptability and security. In software engineering process analyst play an important role for gathering information from the statement of user and obtaining the information from many resource. Data mining gives the potential algorithms and resource for collecting the information. In this paper we are merging the concept of data mining algorithms into software engineering techniques to collect the information and produce the better analyst decision
Keywords
Software engineering, Data Mining , Clustering algorithm
References
[1]A. E. Hassan, A. Mockus, R. C. Holt, and P.
M. Johnson.Guest editor’s introduction: Special
issue on mining softwarerepositories. IEEE
Trans. Softw Eng., 31(6):426–428, 2005.
[2] Josh Eno, Craig W Thompson,” Generating
Synthetic Data to Match Data Mining Patterns”,
IEEE Internet Computing May/June 2008 pp.78
– 82.
[3]. O.Maqbool, A Karim, H.A.Babri, Misarwar,
“Reverse Engineering using Association Rules”,
IEEE INMIC 2004, pp. 389 -395.
[4]. Gang Kou Yipeng, “A Standard for Data
Mining based Software Debugging”, IEEE 4
The International Conference on
NetworkedComputing and advanced
Information Management, pp. 149 – 152.
[5]. Ray-Yaung Chang, Andy Podgurski, Jiong
Yang, “Discovering Neglected Condition in
Software by Mining Dependency Graphs”,”,
IEEETransactions on Software Engineering,
Vol. 34, No. 5, September/October 2008, pp.
579-596.
[6] Jensen, C. and Scacchi W. Simulating an
Automated Approach to Discovery and
Modeling ofOpen Source Software
Development Processes. InProceedings of
ProSim'03 Workshop on SoftwareProcess
Simulation and Modeling, Portland, OR
May2003.
[7] D. Harel and S. Maoz. Assert and negate
revisited: Modal semantics for umlsequence
diagrams. Software and System Modeling, 2007.
[8] D. Lo, S.-C. Khoo, and C. Liu. Efficient
mining of iterative patterns forsoftware
specification discovery.In KDD, 2007.