@article{ _ieee_2010,
  title = {{IEEE} {Standard} {Classification} for {Software} {Anomalies}},
  doi = {10.1109/IEEESTD.2010.5399061},
  abstract = {This standard provides a uniform approach to the classification of software anomalies, regardless of when they originate or when they are encountered within the project, product, or system life cycle. Classification data can be used for a variety of purposes, including defect causal analysis, project management, and software process improvement (e.g., to reduce the likelihood of defect insertion and/or to increase the likelihood of early defect detection).},
  journal = {IEEE Std 1044-2009 (Revision of IEEE Std 1044-1993)},
  month = {January},
  year = {2010},
  keywords = {1044-2009, Classification, Defect, Defect detection, Failure, Fault, IEEE standard classification, IEEE standards, Project management, Software process improvement, anomaly, bug, classification data, defect causal analysis, error, problem, security of data, software anomalies, software maintenance},
  pages = {1--23}
}

{"_id":"SgfCQdKuQddNsvv7C","bibbaseid":"anonymous-ieeestandardclassificationforsoftwareanomalies-2010","downloads":0,"creationDate":"2015-04-15T11:01:17.710Z","title":"IEEE Standard Classification for Software Anomalies","author_short":null,"year":2010,"bibtype":"article","biburl":"http://bibbase.org/zotero/troeger","bibdata":{"abstract":"This standard provides a uniform approach to the classification of software anomalies, regardless of when they originate or when they are encountered within the project, product, or system life cycle. Classification data can be used for a variety of purposes, including defect causal analysis, project management, and software process improvement (e.g., to reduce the likelihood of defect insertion and/or to increase the likelihood of early defect detection).","bibtex":"@article{ _ieee_2010,\n title = {{IEEE} {Standard} {Classification} for {Software} {Anomalies}},\n doi = {10.1109/IEEESTD.2010.5399061},\n abstract = {This standard provides a uniform approach to the classification of software anomalies, regardless of when they originate or when they are encountered within the project, product, or system life cycle. Classification data can be used for a variety of purposes, including defect causal analysis, project management, and software process improvement (e.g., to reduce the likelihood of defect insertion and/or to increase the likelihood of early defect detection).},\n journal = {IEEE Std 1044-2009 (Revision of IEEE Std 1044-1993)},\n month = {January},\n year = {2010},\n keywords = {1044-2009, Classification, Defect, Defect detection, Failure, Fault, IEEE standard classification, IEEE standards, Project management, Software process improvement, anomaly, bug, classification data, defect causal analysis, error, problem, security of data, software anomalies, software maintenance},\n pages = {1--23}\n}","bibtype":"article","doi":"10.1109/IEEESTD.2010.5399061","id":"_ieee_2010","journal":"IEEE Std 1044-2009 (Revision of IEEE Std 1044-1993)","key":"_ieee_2010","keywords":"1044-2009, Classification, Defect, Defect detection, Failure, Fault, IEEE standard classification, IEEE standards, Project management, Software process improvement, anomaly, bug, classification data, defect causal analysis, error, problem, security of data, software anomalies, software maintenance","month":"January","pages":"1--23","title":"IEEE Standard Classification for Software Anomalies","type":"article","year":"2010","bibbaseid":"anonymous-ieeestandardclassificationforsoftwareanomalies-2010","urls":{},"keyword":["1044-2009","Classification","Defect","Defect detection","Failure","Fault","IEEE standard classification","IEEE standards","Project management","Software process improvement","anomaly","bug","classification data","defect causal analysis","error","problem","security of data","software anomalies","software maintenance"],"downloads":0},"search_terms":["ieee","standard","classification","software","anomalies"],"keywords":["1044-2009","classification","defect","defect detection","failure","fault","ieee standard classification","ieee standards","project management","software process improvement","anomaly","bug","classification data","defect causal analysis","error","problem","security of data","software anomalies","software maintenance"],"authorIDs":[],"dataSources":["zHc5HdgBCDgkarEqH"]}