Pekka Abrahamsson

KERKIS: a Modeling Language for Multi-Agent System Interactions in AI-Native Software Engineering

Agents are increasingly considered first-class participants in the software development lifecycle. However, architectural choices that govern the collaboration of agents are fixed inside the frameworks that implement multi-agent systems, leading to difficulty of measuring the individual contribution of these architectu...

Where Did the Repair First Go Wrong? Localizing the Origins of Silent Failures in Agentic Vulnerability Repair

Localizing where an LLM-based agent first fails to uphold security during a repair can show which stage of its workflow needs an additional safeguard. This is difficult for silent failures, which are patches that pass syntactic and functional checks but still contain a security vulnerability. Because such patches give...

A Closed-Loop Control Architecture for Reliable Constraint Satisfaction in LLM Text Generation

Software systems increasingly embed a large language model in features that must satisfy a numeric output constraint, that is, a requirement expressible as a number or an interval and checkable by code, such as a target word count or a target readability grade band. Because such a model is non-deterministic, is configu...

From Features to Value: A Metric Planner for Linking UX and Business Outcomes

The Feature Metric Planner is a web-based interactive tool designed to operationalize feature-level metric planning and is perceived as useful for structuring metric planning early in the development process, improving alignment between feature design and UX-related metrics, and reducing the effort required to define m...

Checkpoints Are Not Enough: Trust Calibration in CoSLR, a Human-AI System for Systematic Literature Reviews

CoSLR is presented, a Human-AI collaborative multi-agent system that supports the SLR workflow through a modular three-phase pipeline using large language models and Retrieval-Augmented Generation, and that places explicit, mandatory human checkpoints on the path between generated output and its acceptance.

An Autonomy Aware Metamodel for Human AI Collaboration in Software Engineering

This work provides a conceptual foundation for governance-aware, adaptable, and AI-first software engineering methods by proposing a metamodel that treats autonomy not as a fixed property of an actor, but as a derived, situation-dependent authority assignment determined by task, context, and collaboration pattern.

Application of agile processes in complex systems development projects

The ITEA AGILE project shows that the application of agile software development methods and processes can offer an up to 70% reduction in lead time and costs in a wide range of different industry sectors.

The next software revolution in vehicles is imminent.

Is management commitment a necessity after all in software process improvement?

Literature and practice has established that the lack of management commitment has been one of the top reasons for a failed SPI (software process improvement) initiative. The paper reports results from an ongoing study aimed at clarifying the role and the meaning of management commitment in SPI initiatives. Results fro...

Rethinking the Concept of Commitment in Software Process Improvement

It is shown that current thinking relies on models of commitment that are flawed in both academic and practical sense and four misconceptions are identified in current thinking.

Commitment development in software process improvement: critical misconceptions

Commitment in software process improvement - in search of the process