47 citations · 56 across the 4 of their papers we have counts for
4 papers · 1 filter
LLM Company Policies and Policy Implications in Software Organizations
Ranim Khojah, Mazen Mohamad, Linda Erlenhov +2
The risks associated with adopting large language model (LLM) chatbots in software organizations highlight the need for clear policies. We examine how 11 companies create these pol…
An Empirical Study of Bots in Software Development -- Characteristics and Challenges from a Practitioner's Perspective
Linda Erlenhov, Francisco Gomes de Oliveira Neto, Philipp Leitner
Software engineering bots - automated tools that handle tedious tasks - are increasingly used by industrial and open source projects to improve developer productivity. Current rese…
Challenges and guidelines on designing test cases for test bots
Linda Erlenhov, Francisco Gomes de Oliveira Neto, Martin Chukaleski +1
Test bots are automated testing tools that autonomously and periodically run a set of test cases that check whether the system under test meets the requirements set forth by the cu…
Visualizing test diversity to support test optimisation
Francisco Gomes de Oliveira Neto, Robert Feldt, Linda Erlenhov +1
Diversity has been used as an effective criteria to optimise test suites for cost-effective testing. Particularly, diversity-based (alternatively referred to as similarity-based) t…