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Kai-Kristian Kemell

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#computer vision Conference Open access Aug 2019

Exploring Virtual Reality as an Integrated Development Environment for Cyber-Physical Systems

Cyber Physical Systems (CPS) development approaches tend to start from the physical (hardware) perspective, and the software is the final element in the process. However, this approach is unfit for the more software-intensive world that is increasingly iterative, connected, and constantly online. Many constraints prevent the application of iterative, incremental, and agile development methodologies, which now are the norm for many other fields of software. Time-consuming system validation can only start when both hardware and software components are ready, which implies that the software delivery and quality is almost always the final bottleneck in the CPS development and integration. Also organizational issues raise concerns - CPS development teams are nowadays often geographically distributed, which can result in delays in the process, shortcomings, and even mistakes. In this paper, we propose using our envisioned open-source Virtual Reality-based Integrated software Development Environment (VRIDE) for developing the next generation, increasingly software-intensive CPSs in efficient ways.

T. Mikkonen, Kai-Kristian Kemell, Petri Kettunen et al. · 3 citations
#artificial intelligence Conference Open access May 2019

Ethically Aligned Design: An Empirical Evaluation of the RESOLVEDD-Strategy in Software and Systems Development Context

A key finding from the study indicates that simply the presence of an ethical tool has an effect on ethical consideration, creating more responsibility even in instances where the use of the tool is not intrinsically motivated.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 17 citations · ⚡2
#computer vision Open access Jun 2019

Implementing Ethics in AI: Initial Results of an Industrial Multiple Case Study

This paper begins to address the focal problem of implementing ethics into AI system design and development in practice by providing elements needed for producing a baseline for ethics in AI based software development by means of an industrial multiple case study on AI systems development in the healthcare sector.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 18 citations · ⚡3
#artificial intelligence Conference Open access Apr 2020

ECCOLA - a Method for Implementing Ethically Aligned AI Systems

The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.

Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson · 64 citations · ⚡6
#computer vision Review Open access 2020

Startup Metrics That Tech Entrepreneurs Need to Know

In this chapter, the results of a multivocal literature review are presented to offer 118 metrics practitioner experts think software startups should measure that can give you ideas for what your startup should measure.

Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc et al. · 8 citations · ⚡1
#computer vision Open access Feb 2021

Software Startup Practices - Software Development in Startups Through the Lens of the Essence Theory of Software Engineering

This paper study software development in startups from the point of view of practices to better understand how startups develop software, and devise a list of practices which are categorized using the Essence Theory of Software Engineering (Essence).

Kai-Kristian Kemell, Ville Ravaska, Anh Nguyen-Duc et al. · 5 citations
#computer vision Open access Mar 2021

The entrepreneurial logic of startup software development: A study of 40 software startups

This study investigates the tactics behind software engineering (SE) activities by analyzing key engineering events during startup journeys and explores how entrepreneurial mindsets may be associated with SE knowledge areas and with each startup case.

Anh Nguyen-Duc, Kai-Kristian Kemell, P. Abrahamsson · 23 citations · ⚡1
#machine learning Review Open access Apr 2023

StartCards - A method for early-stage software startups

The first published version of StartCards is presented, which is considered useful for early-stage startups and can also be used as a pedagogical tool in startup education.

Kai-Kristian Kemell, Anh Nguyen-Duc, Mari Suoranta et al. · 25 citations · ⚡1
#computer vision Review Apr 2024

AI-powered Code Review with LLMs: Early Results

The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 62 citations · ⚡3
#computer vision Review Mar 2024

System for systematic literature review using multiple AI agents: Concept and an empirical evaluation

This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.

Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al. · 44 citations · ⚡2
#computer vision Review Jan 2025

Large Language Models for Code Generation: The Practitioners Perspective

This work proposes and develops a multi-model unified platform to generate and execute code based on natural language prompts and presents practitioners feedback and insights into the use of LLMs in software development, including their strengths and weaknesses, key aspects overlooked by benchmarks and metrics.

Z. Rasheed, Muhammad Waseem, Kai-Kristian Kemell et al. · 18 citations · ⚡2

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