Software development has an integral role in every financial organisation; indeed, almost every service provided by a bank utilizes some form of software solution. Nevertheless, to the best of our knowledge, there is no venue which targets the specific challenges faced by the software development teams in the financial sector. While SE research has led to solutions and innovations for many popular SE problems, there remains unresolved challenges, particularly, those challenges faced in software development in financial firms. An example of such a challenge is defect prediction, where defects are not equal as some may lead to larger reputational and financial damage than others. Consequently, testing and verification is burdened with a further set of restraints for finance-based SE teams.

Financial firms began automating processes as early as the 1960s, and as such, must maintain large legacy systems which may host critical operations. This problem is further exacerbated by the numerous mergers and acquisitions common in the financial sector, which leaves firms with a set of heterogeneous legacy systems that need to communicate with one another effectively and efficiently. Therefore, maintaining these systems while modernizing them leads to intriguing challenges, spanning from model extraction and process optimisation, to code-translation. Moreover, highly regulated institutions like financial firms require a high degree of transparency and accountability. This requirements facilitates the need for model fairness and explanability for any SE solution, in particular those that rely on AI.

AI has transformed software engineering methodologies and practices. In the era of GenAI, there is a strong appetite for automation of software development and maintenance in a far greater level than we have imagined before. Therefore, we encourage creative and novel ideas to utilize the currently available methods and/or GenAI to improve the state-of-the-art in software development and maintenance industry.

The motivation behind FinanSE is to provide the SE community in both industry and academia with a unique opportunity to discuss such challenges and work in collaboration towards effective solutions. Therefore, FinanSE’24 welcomes research papers presenting:

  • Original and innovative ideas to resolve software engineering challenges in financial firms
  • Open research problems to pursue
  • Empirical studies conducted with real-world data
  • Experience reports, case studies, and tool demonstrations

Important Dates (Anywhere on Earth)

Submission Deadline Thu 7 Dec 2023
Submission Notification Date Thu 11 Jan 2024
Camera Ready Deadline Thu 25 Jan 2024
Workshop Tue 16 Apr 2024

Registration

Please register via ICSE 2024 registration portal: https://conf.researchr.org/attending/icse-2024/registration

At least one author per accepted paper must register and attend the workshop to present their paper.

Contact Information

We look forward to seeing you in FinanSE@ICSE2024! For general inquiries about FinanSE, please write to icse.finanse@outlook.com.