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Further, the problem gets worse due to the system evolution, lack of current documentation and lack of original design documentation. The application of clustering techniques and tools helps software maintenance programmers to recover high-level views of system designs and hence leads to better understanding and maintenance of software systems. In this paper, we have used a sociopolitical Imperialist Competitive Algorithm for software module clustering and compared it with existing evolutionary approaches. We conclude that the novel socio-political approach produces better quality clusters as compared to the earlier evolutionary genetic approaches.<\/jats:p>","DOI":"10.1145\/2532780.2532808","type":"journal-article","created":{"date-parts":[[2013,11,27]],"date-time":"2013-11-27T14:13:59Z","timestamp":1385561639000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Software re-engineering using imperialist competitive algorithm"],"prefix":"10.1145","volume":"38","author":[{"given":"Kawal","family":"Jeet","sequence":"first","affiliation":[{"name":"D A V College, Jalandhar, India"}]},{"given":"Renu","family":"Dhir","sequence":"additional","affiliation":[{"name":"Dr B R Ambedkar, NIT, Jalandhar, India"}]}],"member":"320","published-online":{"date-parts":[[2013,11,11]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2005.25"},{"volume-title":"Evolutionary Computation, 2007. 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