Evaluating Representational Harms in Text-to-Image Models
ImageBite is a new DSL and model-driven process to test ethical concerns in text-to-image models
Automating Bias Testing of Large Language Models
Large Language Models (LLMs) are being quickly integrated in a myriad of software applications. This may introduce a number of biases, such as gender, age or ethnicity, in the behavior of such applications. To face this challenge, we explore the automatic generation of tests to assess the potential biases of an LLM.
Using uncertainty as an input to managing inconsistencies
Uncertainty and inconsistency are inherent aspects of the development of any complex system. In practice, both must be tolerated to some extent so as not to inhibit engineers in their work, especially during the early stages of development.
How do software architects deal with non-functional requirements? : an Exploratory Study
How do real software projects deal with non-functional requirements? This paper sheds some light on this issue by talking with software architects
The impact of introducing a modeling tool in a Requirement Engineering course
In numerous programming and software engineering courses, students are asked to program on paper, which has supporters and detractors. Supporters claim that, among its advantages, programming on paper allows students to focus on functionality, avoiding the...
Conceptual modelling for the rest of us with ConML
Modelling is a useful technique for shaping, exploring, documenting, understanding and communicating artefacts of many kinds, and not only software. ConML is a conceptual modelling language for non-experts in information technologies and especially suited to serve non-software modeling domains.
The low-code handbook
Modeling: all you need to know
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