A Customized Quality Model for Software Quality Assurance in Agile Environment

2022 ◽  
pp. 584-598
Author(s):  
Parita Jain ◽  
Arun Sharma ◽  
Laxmi Ahuja

The agile approach grew dramatically over traditional approaches. The methodology focuses more on rapid development, quick evaluation, quantifiable progress and continuous delivery satisfying the customer desire. In view of this, there is a need for measurement of the agile development process. In this respect, the present research work investigates the inter-relationships and inter-dependencies between the identified quality factors (QF), thereby outlining which of these QF have high driving power and dependence power, working indirectly towards the success of agile development process. This paper proposes a new agile quality model, utilizing an interpretive structural modeling (ISM) approach and the identified factors are classifies using Matriced' Impacts Croise's Multiplication Applique´e a UN Classement (MICMAC) approach. The research findings can significantly impact agile development process by understanding how these QF related to each other and how they can be adopted.

Author(s):  
Parita Jain ◽  
Arun Sharma ◽  
Laxmi Ahuja

The agile approach grew dramatically over traditional approaches. The methodology focuses more on rapid development, quick evaluation, quantifiable progress and continuous delivery satisfying the customer desire. In view of this, there is a need for measurement of the agile development process. In this respect, the present research work investigates the inter-relationships and inter-dependencies between the identified quality factors (QF), thereby outlining which of these QF have high driving power and dependence power, working indirectly towards the success of agile development process. This paper proposes a new agile quality model, utilizing an interpretive structural modeling (ISM) approach and the identified factors are classifies using Matriced' Impacts Croise's Multiplication Applique´e a UN Classement (MICMAC) approach. The research findings can significantly impact agile development process by understanding how these QF related to each other and how they can be adopted.


2019 ◽  
Vol 10 (3) ◽  
pp. 51-63
Author(s):  
Puneet Kumar Aggarwal ◽  
P.S. Grover ◽  
Laxmi Ahuja

With the expansion in the quantity of cell phone utilization, mobile applications are developing significantly in today's high-tech environment. With this high demand, the quality of mobile applications is turning into a major issue. The organizations are still finding a way to develop quality applications. The number of quality models has already been proposed for assessing the quality of a mobile application but none of them provide a holistic view towards quality assurance. The present research work proposes an empirical evaluation of the SQM-MApp quality model using a hybrid multi-criteria decision-making approach named ELimination Et Choix Traduisant la REalité (ELimination and Choice Expressing REality) (ELECTRE-TRI) method and step-wise weight assessment ratio analysis (SWARA) method for ranking and determining weights of chosen quality factors respectively. The proposed approach specifically is for the mobile applications that are from the gaming domain. Also, validation of the proposed approach is performed by assessing the quality of gaming applications.


Author(s):  
Angelia Sebok ◽  
Brett Walters ◽  
Christopher Plott

The Agile software development process offers many potential benefits, including a design approach that allows frequent customer input, rapid development of functionality, and the ability to identify and resolve potential misunderstandings in design requirements. This process has generally been highly successful and offered many benefits to the software development industry. It is being adopted by an ever-increasing number of industries and used for applications beyond software development, including hard ware development, training materials, and marketing materials, to name a few examples. This paper describes a project to examine the integration of Human-Centered Design principles with the Agile process, and evaluate the appropriateness of this integrated process for safety and mission critical systems design.


2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Jie Yang ◽  
Hetong Yuan ◽  
Lin Zhang

General contracting has gradually become the mainstream mode of project production organizations and the breakthrough point for the transformation of construction industry in China with the deepening of project management and project implementation reform. A general contractor needs to have a clear understanding of the structure and internal mechanism of its capability to achieve sustainable development. This study aimed to explore the critical influencing factors of general contractor capability and interrelationships between these factors in the context of transformation of Chinese construction industry. Fourteen critical factors influencing the general contractor’s capability were identified through literature review and questionnaire survey. Then, the interrelationships between factors were revealed through interpretive structural modeling (ISM). The factors were divided into four groups using the Matrice d’Impacts croises-multipication applique a classement (MICMAC) in accordance with driving power and dependence power. The results indicate that particular attention should be paid to enterprise culture at present. A strategy to improve the capability of general contractor was proposed. The results contribute to the construction of the theoretical system of general contractor capability. These research findings can thus act as a practical reference for future research attempting to provide technological and managerial solutions for promoting the development of general contracting.


2021 ◽  
Vol 251 ◽  
pp. 01054
Author(s):  
An Wang

In the process of rapid development of big data technology, the digital technology revolution is developing faster and faster. In the context of big data, the data resources of enterprises have been equipped to become data assets. The corporate financial accounting system requires effective accounting treatment and information presentation of data assets. This is a problem that must be addressed in the current corporate development process. This article researches and analyzes the accounting treatment of enterprise data assets and the related content of information presentation. The author also discussed the specific characteristics of data assets in the course of enterprise operation, and how to strengthen the classification research work of data assets. This can improve the effectiveness of the data asset information presentation model, and provide a reference for similar enterprise data asset business and related information disclosure. This is also conducive to give full play to the value discovery function of accounting information in the development process of the enterprise, and reduce the problem of asymmetry of internal and external information.


2020 ◽  
Author(s):  
Cheng Hang Wu ◽  
Ching Ju Chiu ◽  
Yen Ju Liou ◽  
Chun Ying Lee ◽  
Susan C. Hu

BACKGROUND There is still no consensus on research terms for smart healthcare worldwide. The study conducted by Lewis 10 years ago showed extending geographic access was the major health purpose of health-related information communication technology (ICT), but today's situation may be different because of the rapid development of smart healthcare. Objective: The main aim of this study is to classify recent smart healthcare interventions. Therefore, this scoping review was conducted as a feasible tool for exploring this domain and summarizing related research findings. OBJECTIVE The main aim of this study is to classify recent smart healthcare interventions. Therefore, this scoping review was conducted as a feasible tool for exploring this domain and summarizing related research findings. METHODS The scoping review relies on the analysis of previous reviews of smart healthcare interventions assessed for their effectiveness in the framework of a systematic review and/or meta-analysis. The search strategy was based on the identification of smart healthcare interventions reported as the proposed keywords. In the analysis, the reviews published from January 2015 to December 2019 were included. RESULTS The number of publications for smart healthcare's systematic reviews has continued to grow in the past five years. The search strategy yielded 210 systematic reviews and/or meta-analyses addressed to target groups of interest. 68.5% of these publications used mobile health as a keyword. According to the classification by Lewis, 37.62% of the literature was applied to extend geographic access. According to the classification by the Joint Commission of Taiwan (JCT), 48.84% of smart healthcare was applied in clinical areas, and 60% of it was applied in outpatient medical services. CONCLUSIONS Smart healthcare interventions are being widely used in clinical settings and for disease management. The research of mobile health has received the most attention among smart healthcare interventions. The main purpose of mobile health was used to extend geographic access to increase medical accessibility in clinical areas. CLINICALTRIAL none


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Olanrewaju Ayodeji Durojaye ◽  
Nkwachukwu Oziamara Okoro ◽  
Arome Solomon Odiba

Abstract Background The novel coronavirus SARS-CoV-2 is currently a global threat to health and economies. Therapeutics and vaccines are in rapid development; however, none of these therapeutics are considered as absolute cure, and the potential to mutate makes it necessary to find therapeutics that target a highly conserved regions of the viral structure. Results In this study, we characterized an essential but poorly understood coronavirus accessory X4 protein, a core and stable component of the SARS-CoV family. Sequence analysis shows a conserved ~ 90% identity between the SARS-CoV-2 and previously characterized X4 protein in the database. QMEAN Z score of the model protein shows a value of around 0.5, within the acceptable range 0–1. A MolProbity score of 2.96 was obtained for the model protein and indicates a good quality model. The model has Ramachandran values of φ = − 57o and ψ = − 47o for α-helices and values of φ = − 130o and ψ = + 140o for twisted sheets. Conclusions The protein data obtained from this study provides robust information for further in vitro and in vivo experiment, targeted at devising therapeutics against the virus. Phylogenetic analysis further supports previous evidence that the SARS-CoV-2 is positioned with the SL-CoVZC45, BtRs-BetaCoV/YN2018B and the RS4231 Bat SARS-like corona viruses.


2016 ◽  
Vol 11 (3) ◽  
pp. 802-810 ◽  
Author(s):  
Nitin Yashwant Patil ◽  
Ravi M. Warkhedkar

Purpose In the past decade, much has been written about knowledge management (KM) in the manufacturing; however, less attention has been paid to the Indian automobile ancillary industries located in Chinchwad, Pune. It is suitable to find out the relationship of the factors of the study. It helps in identifying the hierarchy of factors to be taken, and interlinking of production department with KM improves the productivity of the industries. Categorization of these principles based on their driving power (principles which hold other principles) and dependence (principles which are dependent on other principles) has also been examined for KM implementation to study the driving power and dependence power of these principles. This paper aims to determine the roadmap of KM implementation and categorize KM principles based on their driving power for manufacturing industries with the use of the interpretive structural modeling (ISM)-based model. The results indicate that the principles possessing higher driving power, such as KM, inventory control, quality control, productivity and scheduling and their interlinking. The major contribution of this research lies in the development of contextual relationship among various identified factors of KM and determination of their driving and dependence power through a single systemic framework. Design/methodology/approach In this paper, author find out the suitability ISM for Indian Automobile industries to find the relation among the variables. Findings ISM model has been developed for the hierarchy of the identified KM. As ISM model results a hypothetical hierarchy which needs a proper quantitative analysis to evaluate their percentage effectiveness in the hierarchy. Research limitations/implications It is applied to automobile industries with limited number of variables that will show the dependence variable and driving variables and their interrelations. It can be applied other fields to fine the relationship of variables. Practical implications The ISM may be used in supply chain management and total quality management to find interlinking between the variables. Originality/value The limited data collected from Pimpri Chinchwad industrial area of Pune from Maharashtra state (India).


Author(s):  
Kumar Srinivasan ◽  
Z. J. Wang ◽  
Wei Yuan ◽  
Richard Sun

CFD simulation of vehicle under-hood and under-body poses several challenges. Specifically, the complexity of the geometry involved makes the use of traditional mesh generation approaches, based on the boundary-to-interior methodology, impractical and time consuming. The current work presents the use of an interior-to-boundary method wherein the need for creating a ‘water-tight’ surface mesh is not a pre-requisite for volume mesh generation. The application of the new method is demonstrated for an actual passenger vehicle under-hood model with nearly a hundred components. Coupled radiation/convection simulations are performed to obtain the complete airflow and thermal map of the engine compartment. Results are validated with test data. The new method results in significant gains in efficiency over traditional approaches allowing the simulation tool to be used effectively in the vehicle development process.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Cheng Gong ◽  
Hongyu Xu ◽  
Feng Xiong ◽  
Jian Zuo ◽  
Na Dong

Purpose Some papers have investigated the complex factors impacting building information modeling (BIM) application in prefabricated buildings (PBs), but few paid attention to their interaction relationships. Ignoring the fact that different factors are not isolated may lead to some key factors being overlooked without appropriate improvement strategies being proposed. This paper aims to analyze those factors and their inter-relationships, with the view to identify the critical factors and their interaction relationships so as to derive constructive strategies that would effectively facilitate BIM adoption in Chinese prefabrication. Design/methodology/approach First, factors influencing BIM application in prefabrication are extracted and collated by literature review, expert interview and analysis of PBs characteristics. Thereafter, an evaluation laboratory (decision-making trial and evaluation laboratory) and interpretive structural modeling are used to explore the relationships and hierarchy among the factors. Based on the degree of cause and centrality, critical factors are extracted and the interaction relationship are investigated. Findings The results show that BIM policies and standards for PBs are the main causal factors. The maturity of BIM software and BIM data interface for PBs, willingness to share data, the strategic goals of the enterprise, BIM law and BIM input and benefit are the main transitional factors while BIM staff and workflow, enterprise attitude, distribution of BIM liability and cooperation of participants are the main direct factors. Originality/value Based on the above findings, corresponding improvement strategies are proposed so as to promote BIM application in prefabrication and the rapid development of China’s PBs efficiently.


Sign in / Sign up

Export Citation Format

Share Document