Popularity Prediction for Social Media over Arbitrary Time Horizons
Daniel Haimovich, Dima Karamshuk, Thomas Leeper, Evgeniy Riabenko, Milan Vojnovic
International Workshop on Mutation Analysis at ICST
Mutation testing is expensive due to the large number of mutants, a problem typically tackled using selective techniques, thereby raising the fundamental question of how to evaluate the selection process. Existing mutant selection approaches rely on one of two types of metrics (or assessment criteria), one based on adequate test sets and the other based on inadequate test sets. This raises the question as to whether these two metrics are correlated, complementary or substitutable for one another. The tester’s faith in mutant selection as well as the validity of previous research work using only one metric rely on the answer to this question, yet it currently remains unanswered. To answer it, we perform qualitative and quantitative comparisons with 104 different projects, consisting of over 600,000 lines of code. Our results indicate a strong connection between the two types of metrics (R2 = 0.8622 on average), providing evidence that it may be valid to adopt only one metric.
Daniel Haimovich, Dima Karamshuk, Thomas Leeper, Evgeniy Riabenko, Milan Vojnovic
Liqi Yan, Qifan Wang, Yiming Cu, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu
Barlas Oğuz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih