Challenges with Responding to Static Analysis Tool Alerts (MSR 2019 - Mining Challenge)

Who

Nasif Imtiaz, Akond Rahman, Effat Farhana, Laurie Williams

Track

MSR 2019 MSR Mining Challenge

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When

Sun 26 May 2019 17:20 - 17:27 at Place du Canada - Mining Challenge presentations

Abstract

Static analysis tool alerts can help developers detect potential defects in the code early in the development cycle. However, developers are not always able to respond to the alerts with their preferred action and may turn away from using the tool. In this paper, we qualitatively analyze 280 Stack Overflow (SO) questions regarding static analysis tool alerts to identify the challenges developers face in understanding and responding to these alerts. We find that the most prevalent question on SO is how to ignore and filter alerts, followed by validation of false positives. Our findings confirm prior researchers’ findings related to notification communication theory as 44.6% of the SO questions that we analyzed indicate developers face communication challenges.

Link to Preprint

https://akondrahman.github.io/papers/msr19_sat.pdf

Nasif Imtiaz

North Carolina State University

United States

Akond Rahman

North Carolina State University

United States

Effat Farhana

Laurie Williams

North Carolina State University

United States

Time Zone

The program is currently displayed in (GMT-04:00) Eastern Time (US & Canada).

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Session Program

Sun 26 May
Displayed time zone: Eastern Time (US & Canada) change

16:00 - 18:00	Mining Challenge presentationsMSR 2019 Mining Challenge at Place du Canada

16:00 10m Talk		SOTorrent: Studying the Origin, Evolution, and Usage of Stack Overflow Code Snippets MSR 2019 Mining Challenge A: Sebastian Baltes University of Trier, A: Christoph Treude The University of Adelaide, A: Stephan Diehl Computer Science, University Trier, Germany Pre-print
16:10 7m Talk		Mining Rule Violations in JavaScript Code Snippets MSR 2019 Mining Challenge Uriel Ferreira Campos , Guilherme Smethurst , João Pedro Moraes , Rodrigo Bonifácio University of Brasília, Brazil, Gustavo Pinto UFPA Pre-print
16:17 7m Talk		Snakes in Paradise?: Insecure Python-related Coding Practices in Stack Overflow MSR 2019 Mining Challenge Akond Rahman North Carolina State University, Effat Farhana , Nasif Imtiaz North Carolina State University Pre-print
16:24 7m Talk		Man vs Machine -- A Study into language identification of Stackoverflow code snippets MSR 2019 Mining Challenge Jens Dietrich Victoria University of Wellington, Markus Luczak-Roesch , Elroy Dalefield Pre-print
16:31 7m Talk		Python Coding Style Compliance on Stack Overflow MSR 2019 Mining Challenge Nikolaos Bafatakis , Niels Boecker , Wenjie Boon , Martin Cabello Salazar , Jens Krinke University College London, Gazi Oznacar , Robert White University College London, UK Pre-print Media Attached
16:38 7m Talk		Towards Mining Answer Edits to Extract Evolution Patterns in Stack Overflow MSR 2019 Mining Challenge Themistoklis Diamantopoulos Electrical and Computer Engineering Dept, Aristotle University of Thessaloniki, Maria-Ioanna Sifaki Electrical and Computer Engineering Dept, Aristotle University of Thessaloniki, Andreas Symeonidis Aristotle University of Thessaloniki Pre-print Media Attached
16:45 7m Talk		Analyzing Comment-induced Updates on Stack Overflow MSR 2019 Mining Challenge Abhishek Soni , Sarah Nadi University of Alberta Pre-print
16:52 7m Talk		What Edits Are Done on Highly Answered Stack Overflow Questions? An Empirical Study MSR 2019 Mining Challenge Xianhao Jin Virginia Tech, USA, Francisco Servant Virginia Tech Pre-print
16:59 7m Talk		Can Duplicate Posts on Stack Overflow Benefit the Software Development Community? MSR 2019 Mining Challenge Durham Abric McGill University, Oliver Clark , Matthew Caminiti , Keheliya Gallaba McGill University, Shane McIntosh McGill University Pre-print
17:06 7m Talk		How Often and What StackOverflow Posts Do Developers Reference in Their GitHub Projects? MSR 2019 Mining Challenge Saraj Singh Manes , Olga Baysal Carleton University Pre-print
17:13 7m Talk		Characterizing Duplicate Code Snippets between Stack Overflow and Tutorials MSR 2019 Mining Challenge Manziba Nishi , Agnieszka Ciborowska , Kostadin Damevski Virginia Commonwealth University Pre-print
17:20 7m Talk		Challenges with Responding to Static Analysis Tool Alerts MSR 2019 Mining Challenge Nasif Imtiaz North Carolina State University, Akond Rahman North Carolina State University, Effat Farhana , Laurie Williams North Carolina State University Pre-print
17:27 7m Talk		Impact of stack overflow code snippets on software cohesion: a preliminary study MSR 2019 Mining Challenge Mashal Ahmad , Mel Ó Cinnéide DOI Pre-print
17:34 7m Talk		We Need to Talk about Microservices: an Analysis from the Discussions on StackOverflow MSR 2019 Mining Challenge Alan Bandeira , Carlos Filho , Matheus Paixao State University of Ceara, Brazil, Paulo Maia State University of Ceará Pre-print Media Attached
17:41 7m Talk		What do developers know about machine learning: a study of ML discussions on StackOverflow MSR 2019 Mining Challenge Hareem-e-Sahar , Abdul Ali Bangash University of Alberta, Canada, Alexander William Wong , Shaiful Chowdhury University of Alberta, Abram Hindle University of Alberta, Karim Ali University of Alberta
17:48 12m		Recap + voting MSR 2019 Mining Challenge