activity
20162018
most citedFPA-FL: Incorporating Static Fault-proneness Analysis into Statistical Fault Localization

18 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2018★ 7 cited

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…

cs.SE2017★ 16 cited

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…

cs.SE2017★ 18 cited

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.…

cs.SE2017★ 6 cited

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…

cs.SE2016★ 3 cited

FPA-Debug: Effective Statistical Fault Localization Considering Fault-proneness Analysis

Farid Feyzi, Esmaeel Nikravan, Saeed Parsa

The aim is to identify faulty predicates which have strong effect on program failure. Statistical debugging techniques are amongst best methods for pinpointing defects within the p…