0% Complete
فارسی
Home
/
یازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Challenges of Specification Mining-based Test Oracle for Cyber-Physical Systems
Authors :
Maryam Raiyat Aliabadi
1
Mojtaba Vahidi
2
Ramak Ghavamizadeh
3
1- دانشگاه شهید بهشتی
2- دانشگاه شهید بهشتی
3- دانشگاه شهید بهشتی
Keywords :
Cyber-Physical Systems, Test Oracle, Specification mining, Safety-critical, Internet of Things
Abstract :
Abstract—Test oracle problem is considered as a major challenge in software testing. Specification mining techniques are shown to be effective to tackle test oracle problem in software systems. In addition, modern systems such as Cyber-Physical Systems (CPSes) have special constraints that should be satisfied when deriving the test oracles for these systems. However, comparing different specification mining techniques for CPS applications is challenging, because no common ground to assess the effectiveness of such techniques has been established yet. In this survey, our contribution is two folded: First, we analyze the CPS constraints from the test oracle point of view, and present a framework of requirements representing six essential criteria for evaluating to which extent specification miners satisfy CPS constraints. Secondly, we review the literature for the specification mining techniques, and use our framework to compare the effectiveness of various static and dynamic analysis-based specification mining techniques, and to discuss their respective advantages and disadvantages.
Papers List
List of archived papers
نظرکاوی در سطح مفهوم با استفاده از رویکردی ترکیبی
سیدرضا قادریان خیرآبادی سیدرضا قادریان خیرآبادی -
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
Analysing effect of news polarity on stock market prediction: a machine learning approach
Golshid Ranjbaran - Dr Mohammad-Shahram Moin - Dr Sasan H Alizadeh - Dr Abbas Koochari
Persian deaf sign language recognition system using deep learning
Mohammad Ebrahimi
A Potential Solutions-Based Parallelized GA for Application Graph Mapping in Reconfigurable Hardware
Seyed Mehdi Mohtavipour - Hadi Shahriar Shahhoseini
STANet: Spatio-Temporal Attention-Enhanced WaveNet for Crime Hotspot Prediction
Rojan Roshankar - Mohammad Reza Keyvanpour
Improving Training Stability in Variational Autoencoders Through the Integration of Score Matching Loss
Amirreza Mokhtari Rad - Pouya Ardehkhani - Hormehr Alborzi
تشخیص بیماری شبکوری با استفاده از ترکیب الگوریتمهای یادگیری عمیق
میثم فتاحی
بهبود تشخیص نفوذ به شبکه اینترنت اشیاء با استفاده از مدل ترکیبی الگوریتم های بهینهسازی ازدحام ذرات، گرگ خاکستری و جنگل تصادفی
مهدی علیرضانژاد - عمار عبیس حسین المعموری
Target-driven Navigation of a Mobile Robot using an End-to-end Deep Learning Approach
Mohammad Matin Hosni - Ali Kheiri - Esmaeil Najafi
more
Samin Hamayesh - Version 42.0.3