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In this work, we propose a test code synthesis technique to improve existing SBST algorithms on testing object oriented programs. We implemented our approach as a tool Evoobj on top of Evosuite. This website servers as experiment details for reviewers to have a detailed check.
The total experiment results for the 103 projects can be download here.
Dataset Download
Dataset Download
In this experiment, we use the SF100 dataset, which can be downloaded here: https://www.evosuite.org/experimental-data/sf100/. Moreover, we randomly selected 750 methods from 3 more projects (Weka, JFreeChart and Jedit, which are very popular Java open source projects) in the SF100 dataset, which can be downloaded here:
Example of how Evoobj work.
Example of how Evoobj work.
Here, we provide an example on how Evoobj can work, more examples and tool are available here.
Target method:
Object construction graph derived by Evoobj from the target branch:
By visiting each node in the above object construction graph, we can generate test skeleton as:
BasicRules basicRules0 = new BasicRules();int int0 = 1780;int int1 = 29;byte byte0 = (byte)2;byte byte1 = (byte)19;Action action0 = new Action(int0, int1, byte0, byte1, byte0);Action action1 = new Action(byte0, byte1, int0);int int2 = action1.getTarget();int int3 = action1.getActor();long long0 = 0L;GameState gameState0 = new GameState(long0);GameState gameState1 = new GameState();Player[] playerArray0 = gameState1.players();String string0 = "GameState.addPlayer(): PlayerID '";String string1 = "6q5\"REsqp,G<n.16l#";int int4 = (-141);Player player0 = new Player(action1.ACTION_JOIN_AGREE, string0, string1, int4);playerArray0[1] = player0;gameState1.setGameState(action1.ACTION_JOIN);Player player1 = gameState1.player(int2);long long1 = 0L;boolean boolean0 = true;player1.setDead(long1, boolean0);Player player2 = gameState1.player(int3);long long2 = 0L;boolean boolean1 = true;player2.setDead(long2, boolean1);boolean boolean2 = basicRules0.checkRules(action1, gameState1);
Coverage comparison for covering branches in the target method with DynaMOSA within 100s budget:
Evosuite:
Final coverage: 0.038461538461538464
Initial Coverage: 0.01282051282051282
Initialization Time: 1.588s
Used generations: 778
Evoobj:
Final coverage: 0.5641025641025641
Initial Coverage: 0.3076923076923077
Initialization Time: 20.849s
Used generations: 488
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