Schedule

The two Students' Talks Sessions give participants the opportunity to present their work in front of the summer school's audience. It is an excellent opportunity to introduce yourself, your work, and your team, practice, get feedback from others, including our senior participants and speakers, and seek future collaborations.

We plan to schedule a timeslot of 8 minutes for each participant, including Q&A. Further details will be announced shortly.

This session gives participants the opportunity to present their work in front of the summer school's audience. It is an excellent opportunity to introduce yourself, your work, and your team, practice, get feedback from others, including our senior participants and speakers, and seek future collaborations.

Each presentation gets a 5-minute slot followed by 3 minutes of Q&A.

Talks:

• Maxime André – Automated Database Schema Evolution in Microservices
• Liviu Marian Berciu – Investigating bug issues on Github using Sonarqube
• Nathan Cassee – Sentiment in Software Engineering: Detection and Application
• Amirhossein Deljouyi – Generating Understandable Unit Tests through End-to-End Scenario Carving
• Daniela Grassi – Emotion and Stress Recognition in Work Environment Using Biometric and Behavioral Data
• Cristina Improta – Security Pitfalls of AI-based Code Generators
• Alexander Lercher – API Evolution in Microservice Architecture
• Davide Molinelli – Automatic Generation of Test Oracles with Neuro-Symbolic Approaches
• Marco Raglianti – Documentation Landscape: Metaphor or Reality?
• Arumoy Shome – Bridging the Gap between Visual and Analytical ML Testing
• Pablo Valenzuela – A Moldable approach for GitHub Actions Analysis

This session gives participants the opportunity to present their work in front of the summer school's audience. It is an excellent opportunity to introduce yourself, your work, and your team, practice, get feedback from others, including our senior participants and speakers, and seek future collaborations.

Each presentation gets a 5-minute slot followed by 3 minutes of Q&A.

Talks:

• Carmen Armenti – How does data sound?
• Francesco Casillo – On the exploitation of NLP-based technologies and techniques
• Davide Corradini – Automated testing and security testing of REST APIs
• Johann Glock – Aiding Developer Understanding of Software Changes via Symbolic Execution-based Semantic Differencing
• Emanuela Guglielmi – Automated Analysis of Gameplay Videos for Enhanced Video Game Testing and Quality Assurance
• Deekshitha Kumbla – FAIRSECO: An extensible framework for impact measurement of Research Software
• Tareq Mohammed Nazir – Using static analysis to repair memory safety issues in C programs
• Diana Carolina Munoz Hurtado – Exploring Security Practices in OpenAPIs
• Lorena Poenaru-Olaru – Preventing Machine Learning Performance Degradation: Monitoring and Maintenance Techniques
• Rosalia Tufano – Automating Code Review

On the first day, we will have a chance to get to know each other during a Reception (a.k.a. standing dinner) at Luini6 Bistrot. Luini6 Bistrot is located next to the Lugano Arte e Cultura (LAC) cultural center. The setting is peculiar, surrounded by works of art with the modern and neoclassical architecture of the beautiful Piazza Luini overlooking Lake Lugano.

The social dinner will be held at Grotto dei Pescatori. The grotto is opposite Lugano on the other side of Lake Lugano. They serve great typical food in a relaxing atmosphere in the middle of the natural environment. We will reach Grotto dei Pescatori together via a short scenic boat ride across the lake. We will split in two groups with different departure times from Lugano: the first at 17:55 and the second at 18:25. The meeting point is the same for both groups and it is located here. Please be on time.

We will close SIESTA 2023 by eating a traditional Neapolitan pizza at Anema & Core, a pizzeria a few minutes’ walk from the venue. On this occasion we will also hold a little awards ceremony.

Our evening meet-up will be held at The Trinity Irish Pub, a casual Irish influenced pub with a simple menu, a pool table, and a selection of beers and whiskies. It will be a great opportunity to get to know each other along with some drinks and appetizers.

Please note that this "Extra Activity" is not part of the official program and, as such, the costs associated with it are not included in the registration fee.

There are many beautiful hiking trails around Lugano, surrounded by mountains that offer stunning views of Lake Lugano and Lake Maggiore. We will be going on an all-day hike to Monte San Giorgio, a UNESCO World Cultural Heritage site, also known as the "Fossil Mountain".

We will mostly follow the Sentiero Lago di Lugano. The hike will take approximately 5 hours, excluding public transportation. The trail is medium grade, covering approximately 15km with some uphill (~800m) and downhill sections.

Please note that this "Extra Activity" is not part of the official program and, as such, the costs associated with it are not included in the registration fee.

As we surf the crest of the latest AI tidal wave, we developers find ourselves savoring our portion of the technological banquet. Enthusiasm is boiling over, with shiny toys such as GitHub Copilot and ChatGPT heralding promises of skyrocketing our productivity. At CodeLounge, we have been using Copilot for a year, while also collecting data about its usage by means of Tako, an IDE telemetry collector & analyzer that we developed. In this talk, starting from this internal data, we will reflect on the impact that such tools had and might have on the structure and daily activity of a development team. Through various programming and data analysis tasks, we will try to shed some light into the line between promise and reality, connecting the dots to incisive critiques from leading researchers who question the capabilities of Large Language Models in a more general context. Can these parrots be our perfect pirate companions, finally taking up the cudgels against the tedium of our craft, like copy-pasting from Stack Overflow? Which strategies and best practices can be adopted as developers to do work, but also as team lead to structure the development process?

*: An anonymous stochastic parrot may have or may have not contributed to this abstract.

In recent years, Artificial Intelligence (AI) has become increasingly popular in the field of Software Engineering (SE), where it has been used to automate and improve various SE tasks. One of the most exciting developments in this area is the use of Large Language Models (LLMs) to solve complex SE problems. In this talk, we will explore the different techniques employed to use LLMs in AI for SE, including finetuning, prompt engineering, prompt augmentation with retrieval, and reinforcement learning with human feedback (RLHF) for SE tasks. Will examine the benefits and limitations of each approach and discuss real-world examples of their applications, such as in Automated Program Repair (APR). By the end of the talk, you will have a better understanding of how LLMs can be used in AI for SE and the potential impact they can have on the industry.

This talk will not give the answer to “The Ultimate Question of Life, The Universe, and Everything”. We already know the answer to that question; it is “42”.

However, this talk will answer several other questions that Ph.D. students may ask themselves at various stages of their doctoral studies. Some of these questions are:

• How to select a research topic and define a research agenda?
• What type of research is (un)common in software engineering?
• How should I conduct my research?
• Why should I (not) consider working in academia after graduation?

Together, we will take a deep dive and follow a less traveled path through the landscape of research methods in software engineering research. We will explore who our research aims to impact, what kinds of contributions we can expect from our research, and how we can use innovative research methods. Some of the topics we will dive into include design science as a frame for software engineering research, the benefits and challenges of using mixed methods in software engineering, and how to uncover the potential but not always obvious or positive disruptive impacts of novel technologies (such as generative AI and VR) on software engineering practice. After this talk, you should feel more empowered to pursue ambitious and impactful research using innovative research methods.

In the last two decades, different types of biometric measures have been adopted by researchers to complement traditional research in software engineering. Starting with eye-tracking, electro dermal activity (EDA), and Electroencephalogram (EEG) – just to name a few, researchers have even adopted brain imaging techniques in the last decade using functional Near Infrared Spectroscopy (fNIRS) and functional Magnetic Resonance Imaging (fMRI). Why are we doing this? What devices are used? What data is recorded? What measures are calculated? And how do we analyze, visualize, and make sense of that data? Those are the type of questions that we will address in this talk.

Software languages are more than their (in)formal specifications. They are also cultural artefacts that reflect the preferences and idioms of their users. In this session, we will explore some of the challenges and opportunities of seeing a language beyond its grammar. We will start by discussing how to determine the language of a program before parsing it, using various kinds of cues. Then, we will move on to capturing and analysing implicit rules and traditions that govern the style and structure of code, such as naming conventions, interfaces, idioms, implementation patterns, etc. Finally, we will address the issue of measuring and improving the quality of code in a specific language, taking into account its features and best practices. We will contemplate some examples of idiomatic and non-idiomatic code, and some methods for detecting and correcting them. The goal of this session is to demonstrate that seeing a language as a rich and diverse phenomenon can lead to new insights and applications for software engineering.

In this talk, we'll take an in-depth look at the award-winning study, 'First come first served: the impact of file position on code review.' The study investigates whether the order of files in code review tools can affect the review outcomes. This interactive talk will provide an extensive explanation of the research methods used in the study. We'll analyze each decision that shaped the study, the reasons behind these decisions, and the knowledge gained from this research approach. We'll explore the research paper's two-part process to demonstrate how the study's methods and their foundational principles can be applied to various empirical software engineering research scenarios. The goal of this session is to equip students with the hands-on experience necessary to plan, carry out, and evaluate their empirical studies, and help them approach real-world software development problems from a rigorous scientific perspective. First, we'll explain the two-step procedure that analyzed numerous Pull Requests from well-known Java projects on GitHub. We'll clarify how the data was gathered, managed, and understood. We'll also shed light on how to manage large-scale data effectively and control for variables that might distort the results. Then, we'll examine the design and implementation of a controlled experiment that involved 106 participants. We'll focus on elements like the selection of defects, experimental controls, assignment of treatments, and data analysis. We'll thoroughly discuss the process of transforming raw data into meaningful insights.