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ESEM 2021
Mon 11 - Fri 15 October 2021
Tue 12 Oct 2021 16:25 - 16:35 at ESEM ROOM - Testing & Security 2 Chair(s): Davide Fucci

Background: In the context of End-to-End testing of web applications, automated exploration techniques (a.k.a. crawling) are widely used to infer state-based models of the site under test. These models, in which states represent features of the web application and transitions represent reachability relationships, can be used for several model-based testing tasks, such as test case generation. However, current exploration techniques often lead to models containing many near-duplicate states, i.e., states representing slightly different pages that are in fact instances of the same feature. This has a negative impact on the subsequent model-based testing tasks, adversely affecting, for example, size, running time, and achieved coverage of generated test suites.

Aims: As a web page can be naturally represented by its tree-structured DOM representation, we propose a novel near-duplicate detection technique to improve the model inference of web applications, based on Tree Kernel (TK) functions. TKs are a class of functions that compute similarity between tree-structured objects, largely investigated and successfully applied in the Natural Language Processing domain.

Method: To evaluate the capability of the proposed approach in detecting near-duplicate web pages, we conducted preliminary classification experiments on a freely-available massive dataset of about 100k manually annotated web page pairs. We compared the classification performance of the proposed approach with other state-of-the-art near-duplicate detection techniques.

Results: Preliminary results show that our approach performs better than state-of-the-art techniques in the near-duplicate detection classification task.

Conclusions: These promising results show that TKs can be applied to near-duplicate detection in the context of web application model inference, and motivate further research in this direction to assess the impact of the technique on the quality of the inferred models and on the subsequent application of model-based testing techniques.

Tue 12 Oct

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

15:30 - 16:35
Testing & Security 2Technical Papers / Emerging Results and Vision papers at ESEM ROOM
Chair(s): Davide Fucci Blekinge Institute of Technology
15:30
15m
Talk
Barriers to Shift-Left Security: The Unique Pain Points of Writing Automated Tests Involving Security Controls
Technical Papers
Danielle Gonzalez Rochester Institute of Technology and Microsoft, Paola Peralta Perez Rochester Institute of Technology, Mehdi Mirakhorli Rochester Institute of Technology
DOI
15:45
15m
Talk
Security Smells Pervade Mobile App Servers
Technical Papers
Pascal Gadient University of Bern, Marc-Andrea Tarnutzer University of Bern, Oscar Nierstrasz University of Bern, Switzerland, Mohammad Ghafari University of Auckland
Pre-print
16:00
15m
Talk
Who are Vulnerability Reporters? A Large-scale Empirical Study on FLOSS
Technical Papers
Nikolaos Alexopoulos Technical University of Darmstadt, Andy Meneely Rochester Institute of Technology, Dorian Arnouts Technical University of Darmstadt, Max Mühlhäuser Technical University of Darmstadt
Pre-print
16:15
10m
Talk
Python Crypto Misuses in the Wild
Emerging Results and Vision papers
Anna-Katharina Wickert TU Darmstadt, Germany, Lars Baumgärtner TU Darmstadt, Florian Breitfelder TU Darmstadt, Mira Mezini TU Darmstadt, Germany
Pre-print Media Attached
16:25
10m
Talk
Web Application Testing: Using Tree Kernels to Detect Near-duplicate States in Automated Model Inference
Emerging Results and Vision papers
Anna Corazza Università degli Studi di Napoli Federico II, Sergio Di Martino Università degli Studi di Napoli Federico II, Adriano Peron Università degli Studi di Napoli Federico II, Luigi Libero Lucio Starace Università degli Studi di Napoli Federico II
Pre-print Media Attached

Information for Participants
Tue 12 Oct 2021 15:30 - 16:35 at ESEM ROOM - Testing & Security 2 Chair(s): Davide Fucci
Info for room ESEM ROOM:

https://www.youtube.com/c/ESEM_Conference