short-paper

code_call_lens: raising the developer awareness of critical code

Authors:

Andrea Janes,

Michael Mairegger, and

Barbara RussoAuthors Info & Claims

ASE '18: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering

September 2018

Pages 876 - 879

https://doi.org/10.1145/3238147.3240488

Published: 03 September 2018 Publication History

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Abstract

As a developer, it is often complex to foresee the impact of changes in source code on usage, e.g., it is time-consuming to find out all components that will be impacted by a change or estimate the impact on the usability of a failing piece of code. It is therefore hard to decide how much effort in quality assurance is justifiable to obtain the desired business goals. In this paper, to reduce the difficulty for developers to understand the importance of source code, we propose an automated way to provide this information to developers as they are working on a given piece of code. As a proof-of-concept, we developed a plug-in for Microsoft Visual Studio Code that informs about the importance of source code methods based on the frequency of usage by the end-users of the developed software. The plug-in aims to increase the awareness developers have about the importance of source code in an unobtrusive way, helping them to prioritize their effort to quality assurance, technical excellence, and usability. code_call_lens can be downloaded from GitHub at https://github.com/xxMUROxx/vscode.code_call_lens.

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Cited By

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Guerra EIvo APereira FRobbes RJanes ASilveira F(2024)Impermanent identifiers: Enhanced source code comprehension and refactoringJournal of Systems and Software10.1016/j.jss.2024.112137216(112137)Online publication date: Oct-2024
https://doi.org/10.1016/j.jss.2024.112137
Yu XCogo FMcIntosh SGodfrey M(2024)Studying the impact of risk assessment analytics on risk awareness and code review performanceEmpirical Software Engineering10.1007/s10664-024-10443-x29:2Online publication date: 17-Feb-2024
https://dl.acm.org/doi/10.1007/s10664-024-10443-x
Svitkov SBryksin T(2020)Visualization of Methods Changeability Based on VCS DataProceedings of the 17th International Conference on Mining Software Repositories10.1145/3379597.3387451(477-480)Online publication date: 29-Jun-2020
https://dl.acm.org/doi/10.1145/3379597.3387451

Index Terms

code_call_lens: raising the developer awareness of critical code
1. Software and its engineering
  1. Software notations and tools
    1. Software maintenance tools

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Information

Published In

ASE '18: Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering

September 2018

955 pages

ISBN:9781450359375

DOI:10.1145/3238147

General Chair:
Marianne Huchard
University of Montpellier, France
,
Program Chairs:
Christian Kästner
Carnegie Mellon University, USA
,
Gordon Fraser
University of Passau, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 03 September 2018

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ASE '18

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ASE '18: 33rd ACM/IEEE International Conference on Automated Software Engineering

September 3 - 7, 2018

Montpellier, France

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Cited By

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Guerra EIvo APereira FRobbes RJanes ASilveira F(2024)Impermanent identifiers: Enhanced source code comprehension and refactoringJournal of Systems and Software10.1016/j.jss.2024.112137216(112137)Online publication date: Oct-2024
https://doi.org/10.1016/j.jss.2024.112137
Yu XCogo FMcIntosh SGodfrey M(2024)Studying the impact of risk assessment analytics on risk awareness and code review performanceEmpirical Software Engineering10.1007/s10664-024-10443-x29:2Online publication date: 17-Feb-2024
https://dl.acm.org/doi/10.1007/s10664-024-10443-x
Svitkov SBryksin T(2020)Visualization of Methods Changeability Based on VCS DataProceedings of the 17th International Conference on Mining Software Repositories10.1145/3379597.3387451(477-480)Online publication date: 29-Jun-2020
https://dl.acm.org/doi/10.1145/3379597.3387451

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Recommendations

On the effectiveness of developer features in code smell prioritization: A replication study

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