Margaret-Anne Storey

A few weeks ago I talked about the Triple debt model at the University of Waterloo where Jesse Hoey saw an interesting connection from the triple debt model to Peirce’s semiotic triadic model developed in the 19th century.

In my last post, I described how a small agile or startup project can have low cognitive debt (where everyone has a good understanding about the goals of the project and what we are doing) but high intent debt (nothing is documented for future team members

The Missing Stop Sign Throughout Ireland where I grew up, it was common to encounter intersections with no stop sign.

A week ago, I wrote about how Generative and Agentic AI may be amplifying what I’ve been calling cognitive debt: the accumulated gap between a system’s evolving structure and a team’s shared understanding of how and why that system works and can be changed

The term technical debt is often used to refer to the accumulation of design or implementation choices that later make the software harder and more costly to understand, modify, or extend over time.

Since the beginning of the pandemic I have studied developer productivity while working from home.

We recently published a paper that describes a framework to highlight human and social aspects in empirical software engineering research.

We presented our TSE 2019 paper that describes a theory of developer productivity and satisfaction at ICSE 2020, the International Conference on Software Engineering, scheduled for Seoul, Korea.

I presented a keynote at ICSE’2019 (the International Conference on Software Engineering Engineering) in Montreal, Canada.

Today, I’m presenting a short paper at ESEM 2017 on research I conducted together with my colleagues at Lund University over the past year!