A Software Cost Modeling Method Considering the Difference Between Software Testing and Operating Environment

Abstract

The invention discloses a modeling method of a software cost model considering the difference between software testing and a running environment, and belongs to the field of software cost model research. The method comprises the following steps: considering the difference between testing and the running environment into the modeling process of the software cost model, and analyzing the influence of the environment difference on the software testing cost and the maintaining cost; based on environmental factors, constructing functions of cost c1 of correcting unit software failures in the testing phase and testing cost c2 of unit time in the testing phase in the software cost model, and further obtaining a novel software cost model; according to the model, forecasting the software cost. The method reflects the influence of the environment difference on the software cost, the software cost model forecasting conforms to reality, therefore, the soft cost is more precisely forecasted, and the software release time is determined.

Description

technical field [0001] The invention relates to the field of software cost model research, in particular considering the difference between software testing and operating environment, and proposes a software cost model modeling method based on the difference between software testing and operating environment. Background technique [0002] In order to make the software reach a safe and stable reliability level, the software has to go through a long testing process before release. But the testing process is time and money consuming. The shorter the software testing time is, the more beneficial it is to reduce the testing cost, but at the same time, it will bring about the unreliability of the software and increase the maintenance cost; on the other hand, the longer the software testing time, the higher the software testing cost. Delay may reduce the market share of the product. Therefore, when to stop software testing and launch software products into the market is an import...

AI Technical Summary

Problems solved by technology

The use of testing technology accelerates the failure process of the software system. Using the failure data in the test phase to predict the failure intensity in the operation phase will make the estimation of the failure intensity in the operation phase more pessimistic.

[0005] (2) The fault detection rate in the test stage is related to the test method and test tool, and it is a function of decreasing with time, while the fault detection rate in the operation stage is related to the use environment, operator habits, software system usage frequency, etc., and changes exist. Uncertainty

The level of test quality will affect the cost of correcting an error during the test phase c 1 , the test cost per unit time c 3 etc., which in turn will affect the cost of the software testing phase

[0014] 2. The impact on software maintenance costs;

The use of testing technology has accelerated the failure process of the software system. Using the failure data in the test phase to predict the failure intensity in the operation phase will make the estimation of the failure intensity in the operation phase more pessimistic, resulting in an estimate of the cumulative failure number m(T) that is higher than the actual situation. Medium and large, which in turn affects software maintenance costs

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