Juniper Networks, Inc.

Tao Deng

Sachin Vasudeva

Srinibas Maharana

Hong Zeng

Manu J Prakash

Static analysis of software code may be performed in a selective regression testing framework. The static impact analysis, when carried out in a comprehensive and efficient way, can help make the test selection safer and more complete. One method for performing static analysis in selective regression testing of a software project includes, for example, storing changes to source code that defines functions and global data elements of the software project; performing a static analysis of the source code to determine which global data elements in the source code correspond to changed functions in the source code and executing a regression test of the software project using a set of test units determined based, at least in part, on the static analysis.

Static analysis in selective software regression testing

In general, techniques are described for intelligently selecting test cases within testing environments. Specifically, a computing device may include a user interface with which a user interacts to specify a safety level. The device also includes a control unit that determines those functions of source code that changed. Based on these changed functions, the control unit determines those functions of the source code not changed but impacted by the changes within a set distance. The control unit then selects, for each of these determined functions, one or more test cases in accordance with one or more test selection algorithms by adaptively applying these algorithms in order of decreasing safety assurances and increasing precision. The control unit further aggregates these selected test cases and implement the test cases to ensure the safety level with respect to a percentage of functional errors occurring within a software program compiled from the source code.

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