International Workshop on Analytics for Software Product and Process Improvement 2025

In an era where software permeates all aspects of modern society, fundamental to business and societal functions, the need for data-driven decision-making in software engineering has become more pressing than ever. Analytics in software engineering involves the use of data-driven approaches to gain insights from software and help stakeholders make better decisions. This includes understanding, evaluating, monitoring, predicting, and enhancing software products and processes throughout their life cycle. As a result, analytics can drive software product and process improvement. Practitioners and researchers alike struggle with deriving actionable insights that can directly inform and enhance software products and processes.

The International Workshop on Analytics for Software Product and Process Improvement (A-SPPI) represents an interactive forum for practitioners, researchers, and educators to explore how software analytics can provide actionable insights for improving the quality of software products and processes. This workshop seeks to foster a vibrant community that bridges academic research and industrial practice by promoting empirical studies, experience reports, reflections, and innovative approaches demonstrating how software analytics can drive software product and process improvement. The workshop also aims to encourage the exchange of ideas and foster networking and collaboration among attendees.

Call for Papers

Software analytics focuses on extracting actionable insights from the vast amount of data generated throughout the software development lifecycle, including source code, version histories, issue trackers, execution logs, and user interactions. By applying qualitative methods (e.g., thematic analysis), quantitative techniques (e.g., statistical modeling), and AI-driven approaches (e.g., machine learning, deep learning, large language models), this data can be leveraged to support the understanding, assessment, and improvement of software products and processes. The International Workshop on Analytics for Software Product and Process Improvement (A-SPPI) offers a dedicated venue for researchers, practitioners, and educators to discuss advances and applications in this area, aiming to enhance software quality attributes such as security, reliability, maintainability, and sustainability.

A-SPPI 2025 encourages contributions from industry, government, and academia on all topics involving analytics for software product and process improvement. These topics include, but are not limited to:

• Analysis of data for understanding and/or enhancing software products and processes, user experience, or decision making in software engineering.
• Application of techniques based on artificial intelligence to software data.
• Approaches, techniques, and tools for mining, analyzing, or visualizing software data.
• Empirical studies involving the mining, analysis, or visualization of software data.
• Teaching and training of skills and competencies for understanding and/or enhancing software products and processes.

Submission

The workshop welcomes unpublished papers from both academia and industry. We also encourage the submission of secondary and tertiary studies on the topics of interest. The categories of papers welcomed are as follows:

• Full papers (8 to 12 pages) presenting mature or advanced research work.
• Short papers (6 to 8 pages) reporting experience reports or work-in-progress research.
• Position papers (4 to 6 pages) describing ideas, visions, and reflections about the topics of the workshop.
• Panel proposals (1 to 4 pages) discussing hot issues about the topics of the workshop.

Submitted papers must conform to the Springer LNCS author guidelines. All papers must be written in English, original (not published, accepted, or submitted for publication elsewhere), and submitted in PDF format through EasyChair. The EasyChair submission web page for all contributions in A-SPPI 2025 is: https://easychair.org/my/conference?conf=asppi2025.

All submitted papers will undergo a rigorous single-anonymous peer review process. If a submission is accepted, at least one author must register for the workshop and present the paper. Accepted papers will be published in a Lecture Notes in Computer Science (LNCS) proceedings volume.

Important Dates

• Submission: August 9th
• Notification: September 9th
• Camera-ready: September 23rd