Paper Accepted at PNSE 2021

It has been almost a year since Mohammed (Madiou) Diallo submitted his bachelor thesis “Towards the Scalability of Detecting and Correcting Incompatible Service Interfaces“, which he carried out in the context of the DYNAMICS project, an applied research project between ESI (TNO) and Thales. After the thesis was finished, we discussed publishing the work as a paper and one year later, a slightly restructured and simplified version of the story has been accepted at the International Workshop on Petri Nets and Software Engineering (PNSE), a workshop co-located with the Petri Net conference.

The accepted paper is entitled “Synthetic Portnet Generation with Controllable Complexity for Testing and Benchmarking” and presents a heuristic-driven method for synthetic generation of random portnets, a kind of Petri Nets suitable for modelling software interfaces in component-based systems. The method considers three user-specified complexity parameters: the expected number input and output places, and the prevalence of non-determinism in the skeleton of the generated net. An implementation of this method is available as an open-source Python tool. Experiments demonstrate the relations between the three complexity parameters and investigate the boundaries of the proposed method. This work was helpful for the DYNAMICS project, as it allowed us to synthetically generate a large number of interfaces of varying complexity that we could use to evaluate the scalability of existing academic tools for adapter generation.

 

 

Bachelor Thesis on Synthetic Interface Generation Defended

Mohammed (Mo) Diallo just defended his bachelor thesis entitled “Towards the Scalability of Detecting and Correcting Incompatible Service Interfaces“. This work is carried out in the context of a project between ESI (TNO) and Thales that developed a five-step methodology for automatic detection and correction of behavioral incompatibilities resulting from evolving software interfaces (see paper for more details). Mo’s thesis provides a starting point for evaluating the scalability of the proposed methodology. An essential ingredient towards this is the ability to synthetically generate interfaces of various complexity. The thesis has two main contributions: 1) a notion of interface complexity in terms of inputs, outputs and non-determinism is defined and the relation between these parameters is studied, and 2) the methodology for a ComMA interface generator using user-supplied complexity parameters, and its implementation in a supporting tool, is introduced.

I would like to thank Mo for the excellent work he delivered in this thesis, and I am happy that he will continue working over summer to extend it.