December 3, 2024

EEE-OSS 2024

Call For Participants

Welcome to the website of EEE-OSS 2024: Exploring Employee Experience in Open Source Software! This is the second international workshop on Exploring Employee Experience in Open Source Software. In recent years, the employee experience, such as well-being, has become increasingly important for software developers. Enhancing the employee experience can lead to greater developer satisfaction, which in turn benefits the organization at large.

Open-source software (OSS) development is mainly sustained by volunteers. This structure implies that developers in the open-source software community may enjoy a positive employee experience.

Given this background, our workshop invites papers that mainly investigate employee/developer experience within OSS. Below is a list of the main topics the workshop will cover.

  • - Empirically exploration and mining software repositories
  • - Experience report
  • - Engagement analysis
  • - Empowerment approach
  • - Others related to OSS

To attend this workshop, all participants must register for the APSEC2024 Full Pass, which covers both the conference and the workshop. The workshop will be held on Dec. 3.

Keynote Speech

gong

Lina Gong
(Nanjing University of Aeronautics and Astronautics)

Title: Classifying Bug Issue Types for Deep Learning-oriented Projects with Pre-Trained Model

Abstract: Classifying the bug issue types correctly plays a vital role in improving the quality of the deep learning (DL)-oriented projects. Although prior studies have proposed different approaches based on Pre-Trained Models (PTMs) for issue type classification in traditional GitHub repositories, DL-oriented projects are different from traditional software, especially in terms of bugs with different causes and symptoms. More importantly, these PTMs-based approaches trained on the issue reports are labeled when software users submit, which would be wrong and non-subdivided bug issue types. Therefore, an automated approach with the ground-truth bug issue types for labeling issues in DL-oriented projects is necessary for DL software repositories. To fill these gaps, we first manually labeled 9,073 issue reports from 11 DL-oriented projects as the ground truths to establish authentic labels. We then explore the effectiveness of six PTMs on the bug issues identification for the DL software repository. Our findings indicate that i) PTMs (especially BERT) could identify more precise bug issue types of DL software than prior DL approaches in all the datasets. ii) contrary to their performance in traditional software bug classification tasks, Software Engineering (SE) domain-specific PTMs cannot achieve significantly better performance than our compared general PTMs and may even perform worse for the DL bug issue classification. iii) in the cross-framework scenarios, the F1-score of PTMs declined by 18.5% to 19.8%. Despite that the performance is suffered, BERT can still achieve the best results. Conclusively, we propose that PTM-based bug issue classification offers potential for more widespread applications and prompt future studies to further examine and verify the generalizability of PTM-based methods in software engineering.

Panel Discussion

gong

Lina Gong
(Nanjing University of Aeronautics and Astronautics)

ishi

Yuta Ishimoto
(Kyushu University)

Title: Future of Mining Software Repositories

Abstract: Software engineering is undergoing significant changes, with new research fields emerging, such as Software Engineering for Artificial Intelligence (SE4AI) and Software Engineering for Quantum Computing (SE4QC). In this new era, it is essential to reimagine how we conduct Mining Software Repositories (MSR) research. For instance, there is a notable lack of publicly available large-scale datasets for SE4AI and SE4QC, which presents a challenge for researchers in these areas.

How can previous MSR research efforts support addressing this gap? This panel discussion will broadly explore these questions, focusing on ways to support researchers in adapting to these new fields and examining how our contributions can enhance the experiences of developers.

OSS Myths and Facts

OSS Myths and Facts is an eBook that investigates common myths about OSS based on empirical studies. In a talk discussing OSS Myths and Facts, the presenter introduces the content of this eBook.

Program Schedule

3rd December
14:00-14:10 Opening
14:10-14:40 Keynote Speech by Lina Gong
14:40-15:05 Invited Talk by Dan Muhindo Kazimoto
15:05-15:30 Break
15:30-15:50 Talk about OSS Myths and Facts
15:50-16:15 Panel Discussion
16:15-16:30 Closing

Submission

We welcome two types of submissions: (1) a title and presentation abstract, and (2) a fast abstract paper limited to two pages. All submissions in PDF format must adhere to the IEEE conference proceedings template. The organizer will make all accepted submissions publicly available on this homepage. The organizers will review each submission and decide on the accepted papers.

Please submit your abstract/PDF to the email address provided below:
eee-oss [here] posl.ait.kyushu-u.ac.jp
Please replace [here] to @

The deadline is Nov. 15.

Organization

General Chair

Kondo

Masanari Kondo
(Kyushu University)

Program Chair

Iimura

Yukako Iimura
(NTT)

Web Chair

Tomoto

Kazushi Tomoto
(Kyushu University)

Committee Members

Saito

Shinobu Saito
(NTT)

Ubayashi

Naoyasu Ubayashi
(Kyushu University)

Kamei

Yasutaka Kamei
(Kyushu University)

Venue

TBD

Series

EEE-OSS 2023