collaborators

21 papers

cs.SE20249 cited

Use of Agile Practices in Start-ups

Eriks Klotins, Michael Unterkalmsteiner, Panagiota Chatzipetrou +4

Context Software start-ups have shown their ability to develop and launch innovative software products and services. Small, motivated teams and uncertain project scope makes start-…

cs.SE20242 cited

ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems

Eduardo Zimelewicz, Marcos Kalinowski, Daniel Mendez +13

[Context] Systems incorporating Machine Learning (ML) models, often called ML-enabled systems, have become commonplace. However, empirical evidence on how ML-enabled systems are en…

cs.SE20232 cited

Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey

Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray +12

Systems that use Machine Learning (ML) have become commonplace for companies that want to improve their products and processes. Literature suggests that Requirements Engineering (R…

cs.SE20232 cited

Requirements' Characteristics: How do they Impact on Project Budget in a Systems Engineering Context?

Panagiota Chatzipetrou, Michael Unterkalmsteiner, Tony Gorschek

Background: Requirements engineering is of a principal importance when starting a new project. However, the number of the requirements involved in a single project can reach up to…

cs.SE2023

A Method for Identification and Ranking of Requirements Sources

Eriks Klotins, Veselka Boeva, Krzysztof Wnuk +3

Requirements engineering (RE) literature acknowledges the importance of early stakeholder identification. The sources of requirements are many and also constantly changing as the m…

cs.SE202311 cited

Software-Intensive Product Engineering in Start-Ups: A Taxonomy

Eriks Klotins, Michael Unterkalmsteiner, Tony Gorschek

Software start-ups are new companies aiming to launch an innovative product to mass markets fast with minimal resources. However, most start-ups fail before realizing their potenti…