The case study presented in this article focuses on the common pitfall in which many defect prevention activities fall, caused by inconsistency of data. Before any collected Root Cause Defect Analysis (RCA) data can be used reliably, an analysis of the variation due to the measurement system itself such as a Gauge R&R study, should be performed. This allows to understand of the integrity of the data in terms of data consistency and validity. The RCA data collection process chosen for this case study concentrates on the RCA assessment performed by engineers independently
Several tools exist for root cause analysis (RCA). Despite this however, many practitioners are not ...
Background. The ability to predict defect-prone software components would be valuable. Consequently,...
The area of software defects is not thoroughly studied in current research, even though it is estima...
The case study presented in this article focuses on the common pitfall in which many defect preventi...
Improvement of product quality and reliability following field failures of products is a well-resear...
In cognitive psychology, confirmation bias is defined as the tendency of people to verify hypotheses...
AbstractImprovement of product quality and reliability following field failures of products is a wel...
Root cause analysis (RCA) is an important methodology that can be integrated with the VE Job Plan to...
Demonstrating software reliability across multiple software releases has become essential in making ...
Software failure analysis and root-cause analysis have become valuable tools in enabling organizatio...
Manufacturing companies struggle to be efficient and effective when conducting root cause analyses o...
The thought processes of people have a significant impact on software quality, as software is design...
Confirmation bias is defined as the tendency of people to seek evidence that verifies a hypothesis r...
As software evolves, becoming a more integral part of complex systems, modern society becomes more r...
[Context] Defect Causal Analysis (DCA) represents an efficient practice to improve software processe...
Several tools exist for root cause analysis (RCA). Despite this however, many practitioners are not ...
Background. The ability to predict defect-prone software components would be valuable. Consequently,...
The area of software defects is not thoroughly studied in current research, even though it is estima...
The case study presented in this article focuses on the common pitfall in which many defect preventi...
Improvement of product quality and reliability following field failures of products is a well-resear...
In cognitive psychology, confirmation bias is defined as the tendency of people to verify hypotheses...
AbstractImprovement of product quality and reliability following field failures of products is a wel...
Root cause analysis (RCA) is an important methodology that can be integrated with the VE Job Plan to...
Demonstrating software reliability across multiple software releases has become essential in making ...
Software failure analysis and root-cause analysis have become valuable tools in enabling organizatio...
Manufacturing companies struggle to be efficient and effective when conducting root cause analyses o...
The thought processes of people have a significant impact on software quality, as software is design...
Confirmation bias is defined as the tendency of people to seek evidence that verifies a hypothesis r...
As software evolves, becoming a more integral part of complex systems, modern society becomes more r...
[Context] Defect Causal Analysis (DCA) represents an efficient practice to improve software processe...
Several tools exist for root cause analysis (RCA). Despite this however, many practitioners are not ...
Background. The ability to predict defect-prone software components would be valuable. Consequently,...
The area of software defects is not thoroughly studied in current research, even though it is estima...