TY - GEN
T1 - A complexity reliability model
AU - Schneidewind, Norm
AU - Hinchey, Mike
PY - 2009
Y1 - 2009
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=77951444721&partnerID=8YFLogxK
U2 - 10.1109/ISSRE.2009.10
DO - 10.1109/ISSRE.2009.10
M3 - Conference contribution
AN - SCOPUS:77951444721
SN - 9780769538785
T3 - Proceedings - International Symposium on Software Reliability Engineering, ISSRE
SP - 1
EP - 10
BT - ISSRE 2009 - 20th International Symposium on Software Reliability Engineering
T2 - 20th International Symposium on Software Reliability Engineering, ISSRE 2009
Y2 - 16 November 2009 through 19 November 2009
ER -