2022-01
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
ACM Transactions on Software Engineering and Methodology
(2022-01-31)
dl.acm.org[Also on arXiv preprint arXiv:2105.08095 (2021-05-17)]2021-11
Reputation Gaming in Stack Overflow.
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods.
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.
An empirical study of IoT topics in IoT developer discussions on Stack Overflow
The forgotten role of search queries in IR-based bug localization: an empirical study
Empirical Software Engineering
(2021-11-01)
link.springer.com[Also on arXiv preprint arXiv:2108.05341 (2021-08-11)]Improved retrieval of programming solutions with code examples using a multi-featured score
Journal of Systems and Software
(2021-11-01)
www.sciencedirect.com[Also on arXiv: Software Engineering (2021-08-05)]2021-10
Shadow Program Committee Initiative: Process and Reflection
Partial order: Finding Consensus among Uncertain Feature Attributions
2021-09
The challenge of reproducible ML: an empirical study on the impact of bugs.
Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow.
Design Smells in Deep Learning Programs: An Empirical Study.
2021-07
Clones in Deep Learning Code: What, Where, and Why?
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
A Replication Package For The Paper "Improved Retrieval of Programming Solutions with Code Examples Using a Multi-featured Score"
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks.
Why do builds fail?—A conceptual replication study
2021-06
Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns
What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions
2021-05
SWAT tool at the SBST 2021 Tool Competition
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)
(2021-05-01)
dblp.uni-trier.deData Driven Testing of Cyber Physical Systems
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)
(2021-05-01)
dblp.uni-trier.de[Also on arXiv preprint arXiv:2102.11491 (2021-02-23)]2021-04
Automatic API Usage Scenario Documentation from Technical Q&A Sites
ACM Transactions on Software Engineering and Methodology
(2021-04-23)
dl.acm.org[Also on arXiv preprint arXiv:2102.08502 (2021-02-16)]Understanding How and Why Developers Seek and Analyze API-Related Opinions
IEEE Transactions on Software Engineering
(2021-04-01)
doi.orgPDF[Also on arXiv preprint arXiv:2102.08495 (2021-02-16)]2021-03
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness
Summarizing Relevant Parts from Technical Videos
Automatic Mining of Opinions Expressed About APIs in Stack Overflow
2021-02
Mining API Usage Scenarios from Stack Overflow
Are Multi-Language Design Smells Fault-Prone? An Empirical Study
ACM Transactions on Software Engineering and Methodology
(2021-02-11)
dl.acm.org[Also on arXiv preprint arXiv:2010.14331 (2020-10-27)]2021-01
Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness
Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues.
Summary of iMLSE-18: The 1st international workshop on machine learning systems engineering
2018 International Workshop on Evidence-Based Security and Privacy in the Wild and the 1st International Workshop on Machine Learning Systems Engineering, WESPr-iMLSE 2018
(2021-01-01)
waseda.pure.elsevier.comIs Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation.
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach.
2020-10
Are Multi-language Design Smells Prevalent? An Empirical Study.
On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow
2020-09
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples
Why are Some Bugs Non-Reproducible? : –An Empirical Investigation using Data Fusion–
Analysis of Modern Release Engineering Topics : – A Large-Scale Study using StackOverflow –
Practitioners’ insights on machine-learning software engineering design patterns: a preliminary study
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