{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:06:42Z","timestamp":1759032402207},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Soft. Eng. Knowl. Eng."],"published-print":{"date-parts":[[2002,12]]},"abstract":"<jats:p> Mutation testing (Mutation Analysis), although powerful in revealing faults, is considered a computationally expensive criterion, due to the high number of mutants created and the effort to determine the equivalent mutants. Using mutation-based alternative testing criteria it is possible to reduce the number of mutants but it is still necessary to determine the equivalent ones. In this paper the Bayesian Learning(one of the Artificial Intelligence techniques used in machine learning) is investigated to define the Bayesian Learning-Based Equivalent Detection Technique (BaLBEDeT), which provides guidelines to help the tester to analyze the live mutants in order to determine the equivalent ones. <\/jats:p>","DOI":"10.1142\/s021819400200113x","type":"journal-article","created":{"date-parts":[[2003,2,18]],"date-time":"2003-02-18T04:55:36Z","timestamp":1045544136000},"page":"675-689","source":"Crossref","is-referenced-by-count":20,"title":["BAYESIAN-LEARNING BASED GUIDELINES TO DETERMINE EQUIVALENT MUTANTS"],"prefix":"10.1142","volume":"12","author":[{"given":"AURI MARCELO RIZZO","family":"VINCENZI","sequence":"first","affiliation":[{"name":"Instituto de Ci\u00eancias Matem\u00e1ticas  e de Computa\u00e7\u00e3o, Universidade de S\u00e3o Paulo, Av. do Trabalhador Sancarlense, 400, Cx. Postal 668, CEP 13560-970, S\u00e3o Carlos, SP, Brazil"}]},{"given":"ELISA YUMI","family":"NAKAGAWA","sequence":"additional","affiliation":[{"name":"Instituto de Ci\u00eancias Matem\u00e1ticas  e de Computa\u00e7\u00e3o, Universidade de S\u00e3o Paulo, Av. do Trabalhador Sancarlense, 400, Cx. Postal 668, CEP 13560-970, S\u00e3o Carlos, SP, Brazil"}]},{"given":"JOS\u00c9 CARLOS","family":"MALDONADO","sequence":"additional","affiliation":[{"name":"Instituto de Ci\u00eancias Matem\u00e1ticas  e de Computa\u00e7\u00e3o, Universidade de S\u00e3o Paulo, Av. do Trabalhador Sancarlense, 400, Cx. Postal 668, CEP 13560-970, S\u00e3o Carlos, SP, Brazil"}]},{"given":"M\u00c1RCIO EDUARDO","family":"DELAMARO","sequence":"additional","affiliation":[{"name":"Faculdade de Inform\u00e1tica,  Funda\u00e7\u00e3o Eur\u00edpedes Soares da Rocha, Av. 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