Improving Component Based Software Integration Testing Using Data Mining Technique

Ali, Sadia Samar; Imran, Muhammad; Hafeez, Yaser; Abbasi, Tehseen Riaz; Haider, Wasi; Salam, Abdul Rahim

doi:10.1109/macs.2018.8628368

Cited by 3 publications

(6 citation statements)

References 14 publications

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“…CPS prioritization (CPSP) is the process of managing relative dependencies amongst components of CPS behaviors to cope with different functionality configurations within limited resources in complex projects. CPSP plays an important role in requirement management activities, particularly for critical tasks like requirements analysis and release [18,29]. To build and deliver good software that meets CPSP customer requirements, an effective software process is required to complete the job with preferential stakeholders' requirements [30].…”

Section: Cybermentioning

confidence: 99%

“…For semantic, conflict, and redundancy analysis during the specification stage text mining (TM) technique could be useful. The technique of extracting interesting and non-trivial patterns or information from unstructured text documents is known as text data mining or knowledge discovery from textual databases [29,31,32]. It's akin to data mining or information discovery from (structured) databases [29,31,32].…”

Section: Cybermentioning

confidence: 99%

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Towards Aspect Based Components Integration Framework for Cyber-Physical System

Ali¹,

Hafeez²,

Bilal³

et al. 2022

Computers, Materials &Amp; Continua

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Cyber-Physical Systems (CPS) comprise interactive computation, networking, and physical processes. The integrative environment of CPS enables the smart systems to be aware of the surrounding physical world. Smart systems, such as smart health care systems, smart homes, smart transportation, and smart cities, are made up of complex and dynamic CPS. The components integration development approach should be based on the divide and conquer theory. This way multiple interactive components can reduce the development complexity in CPS. As reusability enhances efficiency and consistency in CPS, encapsulation of component functionalities and a well-designed user interface is vital for the better end-user's Quality of Experience (QoE). Thus, incorrect interaction of interfaces in the cyber-physical system causes system failures. Usually, interface failures occur due to false, and ambiguous requirements analysis and specification. Therefore, to resolve this issue semantic analysis is required for different stakeholders' viewpoint analysis during requirement specification and components analysis. This work proposes a framework to improve the CPS component integration process, starting from requirement specification to prioritization of components for configurable. For semantic analysis and assessing the reusability of specifications, the framework uses text mining and case-based reasoning techniques. The framework has been tested experimentally, and the results show a significant reduction in ambiguity, redundancy, and irrelevancy, as well as increasing accuracy of interface interactions, component selection, and higher user satisfaction.

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Section: Cybermentioning

confidence: 99%

Section: Cybermentioning

confidence: 99%

Towards Aspect Based Components Integration Framework for Cyber-Physical System

Ali¹,

Hafeez²,

Bilal³

et al. 2022

Computers, Materials &Amp; Continua

Self Cite

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show abstract

“…ReproTizer was used by Shao et al (2017) to test scalability, accuracy, time consumption problems in the requirement prioritization process. The situation-transition structure method was proposed by Ali et al (2018), wherein end-user involvement was used to address priority. To manage the maintenance cost of large cases, Smiti and Elouedi (2019) presented CBR to address knowledge discovery significantly and dynamically handle frequent change; this CBR was based on similarity, using machine learning approach.…”

Section: Related Workmentioning

confidence: 99%

“…The literature outcome provided an overview and guidelines for CBS applications, trends, opportunities, and challenges during development. The key challenges identified from the literature are ambiguities, incompleteness, misspecification, mismatch, inaccuracy, redundancy, and irrelevancy during requirement specification, analysis, and prioritization of CBS (Ali et al, 2018;Ayala et al, 2018;Borg et al, 2019;Chatzipetrou et al, 2020;Graics et al, 2020;Noei et al, 2019;Sheoran et al, 2020). Thus, these challenges impact the integration, verification, and validation process of CBS during development.…”

Section: Related Workmentioning

confidence: 99%

“…CP manages the relative dependencies among components behaviours to cope with different functionalities that change within limited resources in complex projects. CP plays an essential role in the requirement engineering process, particularly for critical tasks like requirements negotiation and software release (Ali et al, 2018;Arias et al, 2018;Kim & Park, 2017). To build a software project and deliver a system that meets customer needs, CP is the most helpful process to accomplish the job (Alzaqebah et al, 2018).…”

mentioning

confidence: 99%

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Requirement prioritization framework using case‐based reasoning: A mining‐based approach

et al. 2021

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In the current era of technology and development, component-based software development (CBSD) has been progressively implemented. Components are used in large products for multiple users with diverse viewpoints and are highly configurable to provide higher satisfaction. Components are reused because of their similar functionality to reduce complexity and ensure the correct interaction between interfaces during product development. However, implementation of component functionalities creates complications due to improper specification, prioritization of components requirements, encapsulated functionalities, and more human interaction. Furthermore, due to configurability and the involvement of multiple stakeholders, ambiguity and semantic issues arise in the behaviour of reusable components. To overcome semantic-based specification and prioritization components' related issues, we propose a framework that uses text mining and case-based reasoning (CBR) techniques.Results of our empirical evaluation demonstrate that the proposed framework significantly outperforms the conventional technique.

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An Aspects Framework for Component-Based Requirements Prediction and Regression Testing

et al. 2022

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Component-based software development has become more popular in recent decades. Currently, component delivery only includes interface specifications, which complicates the selection and integration of suitable components to build a new system. The majority of the components are reused, after appropriate modifications in accordance with the new system, or new version of the system. After components integration, errors may occur during the interaction of their features due to incomplete, ambiguous, or mismatched terms used in requirement analysis and specification, affecting component validation. Therefore, there is a need for a study that identifies challenges and covert concepts into practice by providing solutions to these challenges. The objective of this study is to identify some attributes and information sources that are essential during component-based development. The proposed framework is based on these attributes and information sources. In this study, we provide a taxonomy of attributes and information sources among different activities of component development, and propose a framework to improve the component development process. To investigate the proposed framework, we performed an experimental study to get real-world scenario results from industrial practitioners. The results showed that the proposed framework improves the process of component specification and validation without ambiguity and component failures. Additionally, compared with other methods (random priority, clustering-based and execution rate), the proposed framework successfully outperforms other methods. As a result, the proposed framework’s accuracy, F-measures, and fault identification rate were higher (i.e., greater than 80%) than those of other methods (i.e., less than 80%). The proposed framework will provide a significant guideline for practitioners and researchers.

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Improving Component Based Software Integration Testing Using Data Mining Technique

Cited by 3 publications

References 14 publications

Towards Aspect Based Components Integration Framework for Cyber-Physical System

Towards Aspect Based Components Integration Framework for Cyber-Physical System

Requirement prioritization framework using case‐based reasoning: A mining‐based approach

An Aspects Framework for Component-Based Requirements Prediction and Regression Testing

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