Software fault localisation: a systematic mapping study

Zakari, Abubakar; Lee, Sai Peck; Alam, Khubaib Amjad; Ahmad, Rodina

doi:10.1049/iet-sen.2018.5137

Cited by 22 publications

(17 citation statements)

References 103 publications

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“…Hence, only peer-reviewed articles were targeted. The search string used in our former study is adopted [41].…”

Section: A) Search Criteriamentioning

confidence: 99%

“…The study highlights some issues and limitations in the field of study. Additionally, Zakari et al [41] conducted a systematic mapping study on software fault localization to highlights the recent trends in the research domain. Overall, even though these studies investigated fault localization holistically, there has been limited or no studies conducted to review studies that use SBFL techniques for multiple fault localization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spectrum-based Fault Localization Techniques Application on Multiple-Fault Programs: A Review

Zakari¹,

Abdullahi²,

Shagari³

et al. 2020

GJCST

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Software fault localization is one of the most tedious and costly activities in program debugging in the endeavor to identify faults locations in a software program. In this paper, the studies that used spectrum-based fault localization (SBFL) techniques that makes use of different multiple fault localization debugging methods such as one-bug-at-a-time (OBA) debugging, parallel debugging, and simultaneous debugging in localizing multiple faults are classified and critically analyzed in order to extensively discuss the current research trends, issues, and challenges in this field of study. The outcome strongly shows that there is a high utilization of OBA debugging method, poor fault isolation accuracy, and dominant use of artificial faults that limit the existing techniques applicability in the software industry.

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“…Hence, only peer-reviewed articles were targeted. The search string used in our former study is adopted [41].…”

Section: A) Search Criteriamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spectrum-based Fault Localization Techniques Application on Multiple-Fault Programs: A Review

Zakari¹,

Abdullahi²,

Shagari³

et al. 2020

GJCST

Self Cite

View full text Add to dashboard Cite

show abstract

“…In a study by Keele [14], the author recommended Population, Intervention, Comparison, and Outcome (PICO) perspectives. These perspectives was largely utilized by many SLRs and Systematic mapping studies [20]- [22] . However, in this study, with respect to the general foundation of PICO structure, we constructed a generic Search string to sustain the stability of search on many databases.…”

Section: Search Termsmentioning

confidence: 99%

Data Collection in Sensor-Cloud: A Systematic Literature Review

et al. 2020

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The integration of cloud computing and Wireless Sensor Networks (WSNs) to create Sensorcloud helps in extending the data processing capability and storage capability of WSNs. Knowing how weak WSNs are with regards to communication ability, how to collect and upload sensory data to the cloud in limited time has become an issue in Sensor-cloud. In the last decade, with increasing interest by researchers in the domain, a considerable amount of research works have been conducted and published in the research domain. The main objective of this study is to systematically review the current research on data collection in Sensor-cloud. Hence, the study also aims at identifying, categorizing, and synthesizing important studies in the field of study. Accordingly, an evidence-based methodology is utilized in this study. By doing so,43 relevant studies were identified and retrieved to answer the formulated research questions. The systematic methodology offers a methodical and rigorous study selection and evaluation process that is repeatable and precise. The result shows that research on data collection in Sensor-cloud is relatively consistent with stable output in the last five years. Ten proposal contributions were identified with System, Framework, and Algorithm being the most used by the selected studies. In conclusion, key research challenges and future research directions were identified and discussed for researchers to propose effective solutions to the existing challenges. Although research on data collection in Sensor-cloud is gaining some traction in recent years, the works in the domain are not sufficient and concrete proposals are needed to improve data collection.

show abstract

“…In a study by Keele [13], the author recommended Population, Intervention, Comparison, and Outcome (PICO) perspectives. These perspectives was largely utilized by many SLRs and Systematic mapping studies [19]- [21] . However, in this study, with respect to the general foundation of PICO structure, we constructed a generic Search string to sustain the stability of search on many databases.…”

Section: B Data Sourcesmentioning

confidence: 99%