3 research outputs found
ΠΠ²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΎΠ²Π°Π½Π΅ ΡΠ΅Π³ΡΠ΅ΡΡΠΉΠ½Π΅ ΡΠ΅ΡΡΡΠ²Π°Π½Π½Ρ ΠΎΠ±ΡΠΈΡΠ»ΡΠ²Π°Π»ΡΠ½ΠΈΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΡΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ ΠΌΠ΅ΡΠ΅ΠΆ
Software testing phase in our days became a very important part of software development process.Automation testing plays a key role in agile projects. To reduce the time and effort spent for testing, different extended approaches are used. In our days the artificial intelligence is used for providing different algorithms in different spheres of IT. This article is about the combining the usage of testing artifacts and testing approaches with neural networks working in pair to classify the testing oracle results. Our algorithm is based on QA test case testing concepts, which is laid to neural network usage approach. Test cases are used for verifying whether a tested functionality satisfy the requirements. We created a set of rules how to execute and optimize needed data from test cases to teach the separate neural networks for simulating the tested functionality behavior. According to this, the tested application is somehow substituted by the learning network, which is used for examining the future functionality releases, influenced by hidden errors during regression. The difference of network and application results is combined by the specially created comparison tool calculations that are the basis of created testing oracle. Also we described the approach for creating optimized neural network structure for learning algorithm, that is back propagation in our caseΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΡΠ΅ΡΡΠΎΠ² Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΡΠ΅Π½ΠΈΡΡ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΏΠΎΡΠ»Π΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ. ΠΠΏΠΈΡΠ°Π½Π° ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ, ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°ΠΠ°ΠΏΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΎΠ²Π°Π½ΠΈΡ
ΡΠ΅ΡΡΡΠ² ΠΎΠ±ΡΠΈΡΠ»ΡΠ²Π°Π»ΡΠ½ΠΈΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΡΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ, ΡΠΊΠΈΠΉ Π½Π°Π΄Π°Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΎΡΡΠ½ΠΈΡΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΡΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡΠ² ΠΎΠ±ΡΠΈΡΠ»ΡΠ²Π°Π»ΡΠ½ΠΈΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΡΠ² ΠΏΡΡΠ»Ρ Π·ΠΌΡΠ½ Ρ ΡΡΠ½ΠΊΡΡΠΎΠ½Π°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ½ΠΎΠ³ΠΎ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ. ΠΠΏΠΈΡΠ°Π½ΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΎΠ²Π°Π½ΠΎΠ³ΠΎ ΡΠ΅ΡΡΡΠ²Π°Π½Π½Ρ Π· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ, ΡΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ ΠΏΡΠΈΠΊΠ»Π°Π΄ΠΈ Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ Π°Π»Π³ΠΎΡΠΈΡΠΌ
ΠΠ²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΎΠ²Π°Π½Π΅ ΡΠ΅Π³ΡΠ΅ΡΡΠΉΠ½Π΅ ΡΠ΅ΡΡΡΠ²Π°Π½Π½Ρ ΠΎΠ±ΡΠΈΡΠ»ΡΠ²Π°Π»ΡΠ½ΠΈΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΡΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ ΠΌΠ΅ΡΠ΅ΠΆ
Software testing phase in our days became a very important part of software development process.Automation testing plays a key role in agile projects. To reduce the time and effort spent for testing, different extended approaches are used. In our days the artificial intelligence is used for providing different algorithms in different spheres of IT. This article is about the combining the usage of testing artifacts and testing approaches with neural networks working in pair to classify the testing oracle results. Our algorithm is based on QA test case testing concepts, which is laid to neural network usage approach. Test cases are used for verifying whether a tested functionality satisfy the requirements. We created a set of rules how to execute and optimize needed data from test cases to teach the separate neural networks for simulating the tested functionality behavior. According to this, the tested application is somehow substituted by the learning network, which is used for examining the future functionality releases, influenced by hidden errors during regression. The difference of network and application results is combined by the specially created comparison tool calculations that are the basis of created testing oracle. Also we described the approach for creating optimized neural network structure for learning algorithm, that is back propagation in our caseΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΡΠ΅ΡΡΠΎΠ² Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΡΠ΅Π½ΠΈΡΡ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΏΠΎΡΠ»Π΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ. ΠΠΏΠΈΡΠ°Π½Π° ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ, ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΠΏΡΠΈΠΌΠ΅ΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°ΠΠ°ΠΏΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠΈ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΎΠ²Π°Π½ΠΈΡ
ΡΠ΅ΡΡΡΠ² ΠΎΠ±ΡΠΈΡΠ»ΡΠ²Π°Π»ΡΠ½ΠΈΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΡΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ, ΡΠΊΠΈΠΉ Π½Π°Π΄Π°Ρ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΎΡΡΠ½ΠΈΡΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΡΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡΠ² ΠΎΠ±ΡΠΈΡΠ»ΡΠ²Π°Π»ΡΠ½ΠΈΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΡΠ² ΠΏΡΡΠ»Ρ Π·ΠΌΡΠ½ Ρ ΡΡΠ½ΠΊΡΡΠΎΠ½Π°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠ½ΠΎΠ³ΠΎ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ. ΠΠΏΠΈΡΠ°Π½ΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½Ρ ΠΌΠΎΠ΄Π΅Π»Ρ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΎΠ²Π°Π½ΠΎΠ³ΠΎ ΡΠ΅ΡΡΡΠ²Π°Π½Π½Ρ Π· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ Π½Π΅ΠΉΡΠΎΠ½Π½ΠΈΡ
ΠΌΠ΅ΡΠ΅ΠΆ, ΡΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ ΠΏΡΠΈΠΊΠ»Π°Π΄ΠΈ Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ Π°Π»Π³ΠΎΡΠΈΡΠΌ