0% Complete
English
صفحه اصلی
/
پانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Enhancing Mutation Testing through Grammar Fuzzing and Parse Tree-Driven Mutation Generation
نویسندگان :
Mohamad Khorsandi
1
Alireza Dastmalchi Saei
2
Mohammadreza Sharbaf
3
1- University of Isfahan
2- University of Isfahan
3- University of Isfahan
کلمات کلیدی :
Software Testing،Mutation Testing،Parse Tree،Grammar Fuzzer
چکیده :
Mutation testing is a technique used to assess the effectiveness of software test suites. It works by deliberately introducing small, controlled changes, called mutations, into the code of the software under test (SUT). A robust and thorough test suite should be able to identify and detect these intentionally seeded errors. The key point is to ensure that the resulting mutant program can still be successfully loaded and executed, without causing compilation or runtime errors. The effectiveness of mutation testing directly depends on the nature and scope of the introduced mutations, as more advanced mutations and even targeted mutations can pose additional challenges to the test suite. This paper presents a novel approach leveraging parse trees and grammar fuzzing to create syntactically valid mutations. By generating a parse tree from the SUT’s source code, our method allows precise selection of target nodes and controls mutation granularity through Lexar and parser rules. A custom grammar fuzzer generates new code fragments, which are then semantically validated by a language-specific analyzer to ensure correctness. To address potential compilation issues, we propose selecting deeper parse tree nodes for mutations. Our approach enhances mutation testing precision, flexibility, and automation, ensuring valid and contextually appropriate code mutations.
لیست مقالات
لیست مقالات بایگانی شده
ارائه یک رویکرد معنایی مبتنی بر آنتولوژی به منظور شناسایی تاکتیکهای معماری
احسان شریفی - دکتر احمد عبدالله زاده بارفروش
Attention-Enhanced Ensemble Learning for Automated Stenosis Detection in X-ray Coronary Angiography Videos
Marzieh Sadat Hosseini - Ahmad R. Naghsh-Nilchi - Mehran Safayani - Masoumeh Sadeghi
Design and Simulation of a New Multiplexer with Energy Analysis in Quantum Cellular Automata Technology
- - -
Enhancing Persian Speech Emotion Recognition with Contrastive Learning and Multimodal Fusion
Mobina Esmaeili - Vajiheh Sabeti
NFV-Based Distributed Service Function Chaining with Imperfect Information
Mahsa Alikhani - Marzieh Sheikhi - Dr Vesal Hakami
طراحی و پیاده سازی بستر اجرای بازی جنگ سایبری
مریم نصراصفهانی - بهروز ترک لادانی - بهروز شاهقلی قهفرخی - حسین قجاوند بلتیجه - نوید شیرمحمدی - مهدی شمس - محمدامین آقاکبیری
شناسایی حسابهای چندکاربره بر اساس ویژگیهای شخصیتی کاربران در پلتفرمهای پخش فیلم
مهسا رضائی - مرجان کائدی
A New Method Based on Deep Learning and Time Stabilization of the Propagation Path for Fake News Detection
Fatemeh Torgheh - Dr Mohammad Reza Keyvanpour - Dr Behrooz Masoumi
Benchmarking Embedding Models for Persian-Language Semantic Information Retrieval
Mahmood Kalantari - Mehdi Feghhi - Nasser Mozayani
Distributed coordination protocol for event data exchange in IoT monitoring applications
Behnam Khazael - Hadi Tabatabaee Malazi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0