@inproceedings{KalinowskiMT14,
  author    = {Marcos Kalinowski and
               Emilia Mendes and
               Guilherme Horta Travassos},
  title     = {An Industry Ready Defect Causal Analysis Approach Exploring Bayesian
               Networks},
  abstract  = {Defect causal analysis (DCA) has shown itself an efficient means to improve the quality of software processes and products. A DCA approach exploring Bayesian networks, called DPPI (Defect Prevention-Based Process Improvement), resulted from research following an experimental strategy. Its conceptual phase considered evidence-based guidelines acquired through systematic reviews and feedback from experts in the field. Afterwards, in order to move towards industry readiness the approach evolved based on results of an initial proof of concept and a set of primary studies. This paper describes the experimental strategy followed and provides an overview of the resulting DPPI approach. Moreover, it presents results from applying DPPI in industry in the context of a real software development lifecycle, which allowed further comprehension and insights into using the approach from an industrial perspective. © Springer International Publishing Switzerland 2014.},			   
  booktitle = {Software Quality. Model-Based Approaches for Advanced Software and
               Systems Engineering - 6th International Conference, {SWQD} 2014, Vienna,
               Austria, January 14-16, 2014. Proceedings},
  pages     = {12-33},
  note      = {<font color="red">Industrial Experience Best Paper Award!</font>},    
  year      = {2014},
  urlAuthor_version       = {http://www.inf.puc-rio.br/~kalinowski/publications/KalinowskiMT14.pdf},
  doi       = {10.1007/978-3-319-03602-1_2},
}

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H."],"year":2014,"bibtype":"inproceedings","biburl":"https://bibbase.org/network/files/KuRSiZJF8A6EZiujE","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Marcos"],"propositions":[],"lastnames":["Kalinowski"],"suffixes":[]},{"firstnames":["Emilia"],"propositions":[],"lastnames":["Mendes"],"suffixes":[]},{"firstnames":["Guilherme","Horta"],"propositions":[],"lastnames":["Travassos"],"suffixes":[]}],"title":"An Industry Ready Defect Causal Analysis Approach Exploring Bayesian Networks","abstract":"Defect causal analysis (DCA) has shown itself an efficient means to improve the quality of software processes and products. A DCA approach exploring Bayesian networks, called DPPI (Defect Prevention-Based Process Improvement), resulted from research following an experimental strategy. Its conceptual phase considered evidence-based guidelines acquired through systematic reviews and feedback from experts in the field. Afterwards, in order to move towards industry readiness the approach evolved based on results of an initial proof of concept and a set of primary studies. This paper describes the experimental strategy followed and provides an overview of the resulting DPPI approach. Moreover, it presents results from applying DPPI in industry in the context of a real software development lifecycle, which allowed further comprehension and insights into using the approach from an industrial perspective. © Springer International Publishing Switzerland 2014.","booktitle":"Software Quality. Model-Based Approaches for Advanced Software and Systems Engineering - 6th International Conference, SWQD 2014, Vienna, Austria, January 14-16, 2014. Proceedings","pages":"12-33","note":"<font color=\"red\">Industrial Experience Best Paper Award!</font>","year":"2014","urlauthor_version":"http://www.inf.puc-rio.br/~kalinowski/publications/KalinowskiMT14.pdf","doi":"10.1007/978-3-319-03602-1_2","bibtex":"@inproceedings{KalinowskiMT14,\r\n author = {Marcos Kalinowski and\r\n Emilia Mendes and\r\n Guilherme Horta Travassos},\r\n title = {An Industry Ready Defect Causal Analysis Approach Exploring Bayesian\r\n Networks},\r\n abstract = {Defect causal analysis (DCA) has shown itself an efficient means to improve the quality of software processes and products. A DCA approach exploring Bayesian networks, called DPPI (Defect Prevention-Based Process Improvement), resulted from research following an experimental strategy. Its conceptual phase considered evidence-based guidelines acquired through systematic reviews and feedback from experts in the field. Afterwards, in order to move towards industry readiness the approach evolved based on results of an initial proof of concept and a set of primary studies. This paper describes the experimental strategy followed and provides an overview of the resulting DPPI approach. Moreover, it presents results from applying DPPI in industry in the context of a real software development lifecycle, which allowed further comprehension and insights into using the approach from an industrial perspective. © Springer International Publishing Switzerland 2014.},\t\t\t \r\n booktitle = {Software Quality. Model-Based Approaches for Advanced Software and\r\n Systems Engineering - 6th International Conference, {SWQD} 2014, Vienna,\r\n Austria, January 14-16, 2014. 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