TY - GEN
T1 - A reliability model a reliability model for complex systems
AU - Schneidewind, Norm
AU - Hinchey, Mike
PY - 2011
Y1 - 2011
N2 - A model of software complexity and reliability is developed. It uses an evolutionary process to transition from one software system to the next, while complexity metrics are used to predict the reliability for each system. Our approach is experimental, using data pertinent to the NASA satellite systems application environment. We do not use sophisticated mathematical models that may have little relevance for the application environment. Rather, we tailor our approach to the software characteristics of the software to yield important defect-related predictors of quality. Systems are tested until the software passes defect presence criteria and is released. Testing criteria are based on defect count, defect density, and testing efficiency predictions exceeding specified thresholds. In addition, another type of testing efficiency-a directed graph representing the complexity of the software and defects embedded in the code-is used to evaluate the efficiency of defect detection in NASA satellite system software. Complexity metrics were found to be good predictors of defects and testing efficiency in this evolutionary process.
AB - A model of software complexity and reliability is developed. It uses an evolutionary process to transition from one software system to the next, while complexity metrics are used to predict the reliability for each system. Our approach is experimental, using data pertinent to the NASA satellite systems application environment. We do not use sophisticated mathematical models that may have little relevance for the application environment. Rather, we tailor our approach to the software characteristics of the software to yield important defect-related predictors of quality. Systems are tested until the software passes defect presence criteria and is released. Testing criteria are based on defect count, defect density, and testing efficiency predictions exceeding specified thresholds. In addition, another type of testing efficiency-a directed graph representing the complexity of the software and defects embedded in the code-is used to evaluate the efficiency of defect detection in NASA satellite system software. Complexity metrics were found to be good predictors of defects and testing efficiency in this evolutionary process.
UR - http://www.scopus.com/inward/record.url?scp=80053031639&partnerID=8YFLogxK
U2 - 10.1109/SSIRI-C.2011.23
DO - 10.1109/SSIRI-C.2011.23
M3 - Conference contribution
AN - SCOPUS:80053031639
SN - 9780769544540
T3 - 2011 5th International Conference on Secure Software Integration and Reliability Improvement - Companion, SSIRI-C 2011
SP - 85
EP - 94
BT - 2011 5th International Conference on Secure Software Integration and Reliability Improvement - Companion, SSIRI-C 2011
T2 - 2011 5th International Conference on Secure Software Integration and Reliability Improvement - Companion, SSIRI-C 2011
Y2 - 27 June 2011 through 29 June 2011
ER -