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ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Thu 14 Nov 2019 16:40 - 17:00 at Cortez 2&3 - Untangling and Merging Chair(s): Iftekhar Ahmed

Code clones are already proven as harmful for maintenance and evaluation of software systems such as development and modification of source code, propagation of potential bugs throughout software system and so on. Now a days, a single software system is developing in various programming languages for greater adaptability. In these systems a single functionality is replicated among their varieties; often implemented in different programming languages (cross language clones(CLC)). Consequences of these clones are more severe as they are hard to detect and hard to track their modifications. However, while there are a great many studies for finding clones in the same programming language, there is a marked lack of studies in detecting CLCs. To fill this gap, in this paper, we are going to propose CLCDSA, a CLC detector which can detect CLCs despite any prerequisites or intermediate states. This model analyses different syntactical features of source codes across different programming languages to detect CLC. To support large scale clone data, this model comprises an action filter based on cross language API calls similarity to discard non-potential clones before proceed to the main model. The design methodologies of CLCDSA is two-folded: a. it can detect CLC On the Fly by calculating features’ value similarity; b. it poses a deep neural network based feature vector learning model to learn the features and detect CLC. An early evaluation of this model observed an average precision, recall and F-measure score of 0.55, 0.86 and 0.64 respectively for the On the Fly phase and 0.61, 0.93 and 0.71 for the neural net phase which indicate that CLCDSA has outperformed all the available models in detecting cross language clones.

Thu 14 Nov
Times are displayed in time zone: (GMT-07:00) Tijuana, Baja California change

ase-2019-paper-presentations
16:00 - 17:40: Papers - Untangling and Merging at Cortez 2&3
Chair(s): Iftekhar AhmedUniversity of California at Irvine, USA
ase-2019-papers16:00 - 16:20
Talk
Guilherme CavalcantiFederal University of Pernambuco, Brazil, Paulo BorbaFederal University of Pernambuco, Brazil, Georg SeibtUniversity of Passau, Sven ApelSaarland University
Pre-print
ase-2019-papers16:20 - 16:40
Talk
Alberto Trindade TavaresFederal University of Pernambuco, Paulo BorbaFederal University of Pernambuco, Brazil, Guilherme CavalcantiFederal University of Pernambuco, Brazil, Sergio SoaresFederal University of Pernambuco
Pre-print
ase-2019-papers16:40 - 17:00
Talk
Kawser NafiUniversity of Saskatchewan, Tonny Shekha KarUniversity of Saskatchewan, Canada, Banani RoyUniversity of Saskatchewan, Chanchal K. RoyUniversity of Saskatchewan, Kevin SchneiderUniversity of Saskatchewan
ase-2019-papers17:00 - 17:20
Talk
Muyue FengInstitute of Information Engineering, Chinese Academy of Sciences, Zimu YuanInstitute of Information Engineering, Chinese Academy of Sciences, Feng LiInstitute of Computing Technology at Chinese Academy of Sciences, China, Gu BanInstitute of Information Engineering, Chinese Academy of Sciences, Yang XiaoInstitute of Information Engineering, Chinese Academy of Sciences & School of Cyber Security, University of Chinese Academy of Sciences, Shiyang WangInstitute of Information Engineering, Chinese Academy of Sciences, Qian TangInstitute of Information Engineering, Chinese Academy of Sciences, He SuInstitute of Information Engineering, Chinese Academy of Sciences, Chendong YuUniversity of Chinese Academy of Sciences, Jiahuan XuInstitute of Information Engineering, Chinese Academy of Sciences, Aihua PiaoInstitute of Information Engineering, Chinese Academy of Sciences, Jingling XueUNSW Sydney, Wei HuoInstitute of Information Engineering, Chinese Academy of Sciences
ase-2019-papers17:20 - 17:40
Talk
Min WangPeking University, Zeqi LinMicrosoft Research, China, Yanzhen ZouPeking University, Bing XiePeking University