Supporting program comprehension by generating abstract code summary tree
Wed 11 May 2022 21:00 - 21:05 at ICSE room 1-odd hours - Program Comprehension 3 Chair(s): Christina von Flach
Reading through code, finding relevant methods, classes and files takes a significant portion of software development time. Having good tool support for this code browsing activity can reduce human effort and increase overall developer productivity. To help with program comprehension activities, building an abstract code summary of a software system from its call graph is an active research area. A call graph is a visual representation of the caller-callee relationships between different methods of a software system. Call graphs can be difficult to comprehend for a large code-base. Previous work by Gharibi et al. on abstract code summarizing suggested using the Agglomerative Hierarchical Clustering (AHC) tree for understand- ing the codebase. Each node in the tree is associated with the top five method names. When we replicated the previous approach, we observed that the number of nodes in the AHC tree is burdensome for developers to explore. We also noticed only five method names for each node is not sufficient to comprehend an abstract node. We propose a technique to transform the AHC tree using cluster flattening for natural grouping and reduced nodes. We also generate a natural text summary for each abstract node derived from method comments. In order to evaluate our proposed approach, we collected developers’ opinions about the abstract code summary tree based on their codebase. The evaluation results confirm that our approach can not only help developers get an overview of their codebases but also could assist them in doing specific software maintenance tasks
Wed 11 MayDisplayed time zone: Eastern Time (US & Canada) change
05:00 - 06:00 | Program Comprehension 1Technical Track / NIER - New Ideas and Emerging Results at ICSE room 2-odd hours Chair(s): Prajish Prasad IIT Bombay | ||
05:00 5mTalk | Supporting program comprehension by generating abstract code summary tree NIER - New Ideas and Emerging Results Avijit Bhattacharjee University of Saskatchewan, Canada, Banani Roy University of Saskatchewan, Kevin Schneider University of Saskatchewan DOI Pre-print Media Attached | ||
05:05 5mTalk | Practitioners’ Expectations on Automated Code Comment Generation Technical Track Xing Hu Zhejiang University, Xin Xia Huawei Software Engineering Application Technology Lab, David Lo Singapore Management University, Zhiyuan Wan Zhejiang University, Qiuyuan Chen Zhejiang University, Thomas Zimmermann Microsoft Research DOI Pre-print Media Attached | ||
05:10 5mTalk | On the Evaluation of Neural Code Summarization Technical Track Ensheng Shi Xi'an Jiaotong University, Yanlin Wang Microsoft Research, Lun Du Microsoft Research Asia, Junjie Chen Tianjin University, Shi Han Microsoft Research, Hongyu Zhang University of Newcastle, Dongmei Zhang Microsoft Research, Hongbin Sun Xi'an Jiaotong University DOI Pre-print Media Attached | ||
05:15 5mTalk | Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Technical Track Deze Wang National University of Defense Technology, Zhouyang Jia National University of Defense Technology, Shanshan Li National University of Defense Technology, Yue Yu College of Computer, National University of Defense Technology, Changsha 410073, China, Yun Xiong Fudan University, Wei Dong School of Computer, National University of Defense Technology, China, Liao Xiangke National University of Defense Technology Pre-print Media Attached | ||
05:20 5mTalk | FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation Technical Track Jinhao Dong Peking University, Yiling Lou Purdue University, Qihao Zhu Peking University, Zeyu Sun Peking University, Zhilin Li Peking University, Wenjie Zhang Peking University, Dan Hao Peking University Pre-print Media Attached | ||
21:00 - 22:00 | Program Comprehension 3Technical Track / SEET - Software Engineering Education and Training / NIER - New Ideas and Emerging Results at ICSE room 1-odd hours Chair(s): Christina von Flach Federal University of Bahia | ||
21:00 5mTalk | Supporting program comprehension by generating abstract code summary tree NIER - New Ideas and Emerging Results Avijit Bhattacharjee University of Saskatchewan, Canada, Banani Roy University of Saskatchewan, Kevin Schneider University of Saskatchewan DOI Pre-print Media Attached | ||
21:05 5mTalk | Designing Divergent Thinking, Creative Problem Solving Exams SEET - Software Engineering Education and Training Pre-print Media Attached | ||
21:10 5mTalk | Practitioners’ Expectations on Automated Code Comment Generation Technical Track Xing Hu Zhejiang University, Xin Xia Huawei Software Engineering Application Technology Lab, David Lo Singapore Management University, Zhiyuan Wan Zhejiang University, Qiuyuan Chen Zhejiang University, Thomas Zimmermann Microsoft Research DOI Pre-print Media Attached | ||
21:15 5mTalk | Retrieving Data Constraint Implementations Using Fine-Grained Code Patterns Technical Track Juan Manuel Florez The University of Texas at Dallas, Jonathan Perry The University of Texas at Dallas, Shiyi Wei University of Texas at Dallas, Andrian Marcus University of Texas at Dallas Pre-print Media Attached | ||
21:20 5mTalk | Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Technical Track Deze Wang National University of Defense Technology, Zhouyang Jia National University of Defense Technology, Shanshan Li National University of Defense Technology, Yue Yu College of Computer, National University of Defense Technology, Changsha 410073, China, Yun Xiong Fudan University, Wei Dong School of Computer, National University of Defense Technology, China, Liao Xiangke National University of Defense Technology Pre-print Media Attached | ||