Data Flow Based Integration Testing for Embedded System Using Interaction Model

2014 ◽  
Author(s):  
Hossain Muhammad Iqbal ◽  
Woo Jin Lee
Keyword(s):  
Embedded System ◽  
Data Flow ◽  
Interaction Model ◽  
Integration Testing

scholarly journals Integration testing based on indirect interaction for embedded system

2019 ◽  
Vol 8 (2) ◽  
pp. 86
Author(s):  
Muhammad Iqbal Hossain ◽  
Woo Jin Lee
Keyword(s):  
Embedded System ◽  
Fault Injection ◽  
Interaction Model ◽  
Indirect Interaction ◽  
Software Failures ◽  
Interaction Faults ◽  
Interaction Testing ◽  
The Embedded System ◽  
Resource Data ◽  
Dependence Relationship

<span>Embedded systems comprise several modules that exchange data by interacting among themselves. Exchanging wrong resource data among modules may lead to execution errors or anomalies. Interacting resources produce dependencies between two modules where any change of resources by one module affects the functionality of another module. Several investigations of the embedded system such as aerospace or automobile system show interaction faults between modules are one of the major cause of critical software failures. Therefore, interaction testing is an essential phase to reduce the interaction faults and minimize the risk. The direct and indirect interaction between modules generates interaction faults where indirect interaction is made underneath the interface in which data dependence relationship with resources may cause a different outcome. We investigate errors based on the indirect interaction between modules and introduce a new test criterion for finding errors detectable by existing approaches in unit level but not in integration level. In this paper, we propose a noble approach to generate an interaction model using indirect interaction pattern and design test criteria based on different interaction errors to generate test cases. Finally, we use fault injection and data flow coverage techniques to evaluate the feasibility and effectiveness of our approach</span>

scholarly journals Automatic Method for Distinguishing Hardware and Software Faults Based on Software Execution Data and Hardware Performance Counters

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1815
Author(s):  
Jihyun Park ◽  
Byoungju Choi
Keyword(s):  
Embedded System ◽  
Automatic Method ◽  
Integration Testing ◽  
Software Faults ◽  
Performance Counters ◽  
Automated Method ◽  
Tightly Coupled ◽  
Hardware Performance Counters ◽  
Software Execution ◽  
Hardware Performance

Debugging in an embedded system where hardware and software are tightly coupled and have restricted resources is far from trivial. When hardware defects appear as if they were software defects, determining the real source becomes challenging. In this study, we propose an automated method of distinguishing whether a defect originates from the hardware or software at the stage of integration testing of hardware and software. Our method overcomes the limitations of the embedded environment, minimizes the effects on runtime, and identifies defects by obtaining and analyzing software execution data and hardware performance counters. We analyze the effects of the proposed method through an empirical study. The experimental results reveal that our method can effectively distinguish defects.

Sign in / Sign up

Export Citation Format

Share Document