Automated In-process Software Engineering Measurement and Analysis (AISEMA) systems are powerful tools to monitor and improve the software development process. However, to be useful, it is required that such tools never stop working. Therefore, they need the support of advanced monitoring systems able to detect and locate malfunctions and inform automatically human operators providing all the information required to solve the problem. This paper describe the approach and the tools developed to support a specific AISEMA system developed to support both managers and developers in implementing continuous process improvement initiatives.
Coman I, Sillitti A, Succi G (2011). Ensuring Continuous Data Accuracy in AISEMA System.
Ensuring Continuous Data Accuracy in AISEMA System
Succi G
2011
Abstract
Automated In-process Software Engineering Measurement and Analysis (AISEMA) systems are powerful tools to monitor and improve the software development process. However, to be useful, it is required that such tools never stop working. Therefore, they need the support of advanced monitoring systems able to detect and locate malfunctions and inform automatically human operators providing all the information required to solve the problem. This paper describe the approach and the tools developed to support a specific AISEMA system developed to support both managers and developers in implementing continuous process improvement initiatives.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
