21 citations · 71 across the 8 of their papers we have counts for
8 papers · 1 filter
Format-aware Learn&Fuzz: Deep Test Data Generation for Efficient Fuzzing
Morteza Zakeri Nasrabadi, Saeed Parsa, Akram Kalaee
Appropriate test data is a crucial factor to reach success in dynamic software testing, e.g., fuzzing. Most of the real-world applications, however, accept complex structure inputs…
Kernel-based Detection of Coincidentally Correct Test Cases to Improve Fault Localization Effectiveness
Farid Feyzi, Saeed Parsa
Although empirical studies have confirmed the effectiveness of spectrum-based fault localization (SBFL) techniques, their performance may be degraded due to presence of some undesi…
Inforence: Effective Fault Localization Based on Information-Theoretic Analysis and Statistical Causal Inference
Farid Feyzi, Saeed Parsa
In this paper, a novel approach, Inforence, is proposed to isolate the suspicious codes that likely contain faults. Inforence employs a feature selection method, based on mutual in…
FPA-FL: Incorporating Static Fault-proneness Analysis into Statistical Fault Localization
Farid Feyzi, Saeed Parsa
Despite the proven applicability of the statistical methods in automatic fault localization, these approaches are biased by data collected from different executions of the program.…
Enhancing Path-Oriented Test Data Generation Using Adaptive Random Testing Techniques
Esmaeel Nikravan, Farid Feyzi, Saeed Parsa
In this paper, we have developed an approach to generate test data for path coverage based testing. The main challenge of this kind testing lies in its ability to build efficiently…
Validation of Collaborative Business Processes using Goals Model
Amir Ebrahimifard, Mostafa Khoramabadi Arani, Mohammad Javad Amiri +1
Validating process model against corresponding requirements is one of the most important problems in domain of collaborative processes. In this paper collaborative processes are mo…