Abstract
In order to objectively analyze how the key performance of software evolves during the maintenance period, this paper studies the statistical process control and process capability. Based on the performance data of software use process, a method of monitoring the evolution of software key performance using control chart is proposed. According to the monitoring requirements of software, collect the target performance samples, draw the control chart, judge whether the measured value meets the statistical steady state; according to the abnormal mode and out of control point, analyze the software abnormal and make the maintenance plan; under the condition of the normal distribution of the measured value, synthesize the process capability index and process performance index to judge whether the measured value meets the technical steady state; calculate the unqualified product rate to determine whether the failure rate of software products meets the user's requirements; define the reproducibility of the sample set, and examines the reproducibility from two aspects: the quantity value of reproducibility and the statistical steady state of the mean value of the sample set. The method has been fully verified in a task management system.
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Zhang, F., Guo, W., Qin, L., Zhao, Y., Li, Z. (2023). A Method of Using Control Chart to Monitor Software Key Performance Evolution. In: Sun, J., Wang, Y., Huo, M., Xu, L. (eds) Signal and Information Processing, Networking and Computers. Lecture Notes in Electrical Engineering, vol 917. Springer, Singapore. https://doi.org/10.1007/978-981-19-3387-5_42
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DOI: https://doi.org/10.1007/978-981-19-3387-5_42
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