6 citations · 6 across the 4 of their papers we have counts for
5 papers
Understanding LLMs in Title-Abstract Screening: From Disagreements to Recommendations
Mika Mäntylä, Patricia Matsubara, Katia Romero Felizardo +5
Several studies have examined the use of large language models (LLMs) for title-abstract screening in systematic reviews (SRs), reporting mixed accuracy. However, questions of reli…
Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy
Fernando Ayach, Vitor Lameirão, Raul Leão +5
Proto-personas are commonly used during early-stage Product Discovery, such as Lean Inception, to guide product definition and stakeholder alignment. However, the manual creation o…
Moving on from the software engineers' gambit: an approach to support the defense of software effort estimates
Patrícia Matsubara, Igor Steinmacher, Bruno Gadelha +1
Pressure for higher productivity and faster delivery is increasingly pervading software organizations. This can lead software engineers to act like chess players playing a gambit -…
The best defense is a good defense: adapting negotiation methods for tackling pressure over software project estimates
Patricia G. F. Matsubara, Igor Steinmacher, Bruno Gadelha +1
Software estimation is critical for a software project's success and a challenging activity. We argue that estimation problems are not restricted to the generation of estimates but…
Buying time in software development: how estimates become commitments?
Patricia Matsubara, Igor Steinmacher, Bruno Gadelha +1
Despite years of research for improving accuracy, software practitioners still face software estimation difficulties. Expert judgment has been the prevalent method used in industry…