 In this paper we propose AthenaTest, an approach that aims at generating unit test cases by learning from real-world , developer-written test cases. Our approach relies on a state-of-the-art sequence-to-sequence transformer model which is able to write useful test cases for a given method under test (i. e., focal method).
<clarity>  In this paper we propose AthenaTest, an approach that aims at generating unit test cases by learning from real-world , developer-written test cases. Our approach relies on a state-of-the-art sequence-to-sequence transformer model which is able to write useful test cases for a given method under test (i. e., focal method).
 In this paper we propose AthenaTest, an approach that aims at generating unit test cases by learning from real-world , developer-written testcases. We formulate unit test case generation as a sequence-to-sequence transformer model which is able to write useful test cases for a given method under test (i. e., focal method).