Publications

Our quality model and recommendations help researchers learn about the state-of-the-art automated log-abstraction techniques, identify research gaps to enhance existing techniques, and develop new ones. We also support software engineers in understanding the advantages and limitations of existing techniques and in choosing the suitable technique to their unique use cases.

Although single occurrences of Blob or Spaghetti code anti-patterns have little effect on code comprehension, two occurrences of either Blob or Spaghetti Code significantly increases the developers’ time spent in their tasks, reduce their percentage of correct answers, and increase their effort. Hence, we recommend that developers act on both anti-patterns, which should be refactored out of the source code whenever possible.

The “Config2Code” prototype, which implements the four requirements, is then empirically evaluated via a user study involving 55 participants that comprises 10 typical configuration engineering tasks, ranging from the creation, comprehension, refactoring, and reviewing of configuration options to the quality assurance of options and debugging of configuration failures.

We provide developers and researchers with grounded dataset describing software-engineering problems in video-game development extracted from postmortems.

Search for secondary studies is essential to establish whether the review on the intended topic has already been done, avoiding waste time. The main goal of this work is to analyze search strings to establish directions to better detect secondary studies in Software Engineering (SE).

We propose an assessment quality model to evaluate and choose stream processing frameworks.

We conducted a tertiary systematic literature review to identify, classify, and evaluate the current state of the art on software visualization from 48 software visualization secondary studies, following three perspectives{:} publication trends, software visualization topics and techniques, and issues related to research field.

We statically analyzed 25 open-source projects using serverless architecture to bring out metrics that applies to the different characteristics of software maintainability.

This paper characterizes the range of WiFi for outdoor applications in comparison with most known empirical path loss models, and analyzes its impact for smart space services like Internet of Things (IoT).

In this paper, using the concept of Swarm Debugging, we present the Sequence Debugging Session View (SDV) tool. The primary goal is to capture the debugging information from a developer IDE (as Visual Studio) and store it.

We introduce the Swarm Debugging concept to frame the sharing of debugging information, the Swarm Debugging Infrastructure (SDI) with which practitioners and researchers can collect and share data about developers’ interactive debugging sessions, and the Swarm Debugging Global View (GV) to display debugging paths.

We aim at assisting cloud developers to enhance their REST management APIs by providing a compliance evaluation of OCCI and REST best principles and a recommendation support to comply with these principles.

We aim at conducting a review of existing metrics focused on the software architecture for evaluating quality, early in the design flow and throughout the project’s lifetime.

We study the efficiency of a serverless architecture for running highly parallelizable tasks to compare theses services in order to find the most efficient in term of performance and cost.