Using Factor Analysis to Study the Critical Success Factors of Agile Software Development

Aldahmash, Abdullah; Gravell, Andrew M.; Howard, Yvonne

doi:10.17706/jsw.12.12.957-963

Cited by 11 publications

(11 citation statements)

References 16 publications

(17 reference statements)

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“…Currently, several researchers have proven that people factors can affect the success of software development using agile methods [6]. The research are [6], [7], [8], [26], and [28], but based on these studies there is only one study that focuses on looking at the influence of the people factor on the success of ASD.…”

Section: Introductionmentioning

confidence: 99%

People Factors Influencing Project Success in Software Development: A Survey of Agile Development Teams in Indonesia

Fadilah

Raharjo

Hardian

et al. 2022

ICoSTEC

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Currently, agile is one method often used in software development. However, implementing agile is not easy. Many factors can affect the successful implementation of agile software development (ASD). One of the factors that often arise is individuals/people. Previous research has proven that the people factor is one of the factors that can increase the success of ASD implementation. However, only one study focuses on the people factor that researchers in Portugal have done. Therefore, this study attempts to identify the effect of people's factors on the success of ASD in Indonesia. Respondents in this study are individuals who have or are currently using ASD. Data collection in this study used a questionnaire and validated the data using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings of this study indicate that team capability influences the success of ASD implementation, while personal characteristics, societal culture, and customer involvement have no effect. In addition, other findings personal characteristics can affect team capabilities and customer involvement.

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Section: Introductionmentioning

confidence: 99%

People Factors Influencing Project Success in Software Development: A Survey of Agile Development Teams in Indonesia

Fadilah

Raharjo

Hardian

et al. 2022

ICoSTEC

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“…Aldahmash et al [15] conducted a study using factor analysis on the critical success factors (CSFs) of Agile Software Development. They used questionnaire on 131 respondents from agile practitioners from more than 28 countries.…”

Section: Literature Reviewmentioning

confidence: 99%

“…After obtaining number of initial factor loadings using any of the criteria for determining number of factors to be retained, the next is to interpret the factors and their loadings. The interpretation of factors is easy to be done when factors are rotated [15]. There are two types of factor rotation methods, namely; orthogonal rotation method and Oblique rotation method.…”

Section: Factor Rotationmentioning

confidence: 99%

Principal Component Factor Analysis of Some Development Factors in Southern Nigeria and Its Extension to Regression Analysis

Eze

Asogwa²,

Eze

2021

JAMCS

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This study was conducted to evaluate some development factors in Southern Nigeria in order to ascertain common factors that explained the interrelationships among them and identify best cities for recommendation. A total sample of 250 cities from different states in three geopolitical zones in Southern Nigeria was used in this study and 11 development factors were considered. Kaiser-Meyer-Olkin (KMO) of (> 0.5) was computed to test the sampling adequacy; Bartlett’s Test of Sphericity (Significant at 0.001) was conducted to test whether the correlation between the variables are sufficiently large for factor analysis; correlation matrix was computed to confirm the inter-item correlation. In this analysis, principal component factor analysis was the factor extraction method. Varimax rotation technique was used for factor rotation. The result showed that three new factors with eigenvalues greater than 1 were successfully constructed. The three new factors accounted for 71.63% of total variance in the dataset and assigned as the common factors influencing sustainable development in Southern Nigeria. The communalities results ranging from 0.32-0.88 depicted that factor model was adequate. The results of factor analysis were extended to multiple regression analysis. The multiple regression model was fitted using development scores as dependent variable and rotated factors as independent variables. The coefficient of determination,, for the regression model was 99% and this shows that the model is adequate to evaluate the Southern Nigerian cities. The higher the estimated development scores, the better a city. Tolerance and VIF values showed that there was no multicollinearity in the regression model.

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“…Based on the data obtained from the policyholder, insurers estimate the potential risk of damage and, on the basis of the developed analyzes, adjust the premium to the situation of a given customer. Such a solution leaves a lot of room for abuse by customers, the declarations made are not always truthful, the information is usually verified only after the damage occurs [3,4,28]. Telematics can solve this problem, because the data obtained with the use of an appropriate system will enable ongoing monitoring of parameters and driving style of a given driver, which will translate into adjusting the premium amount to their individual situation [12,19,27].…”

Section: Insurance Telematicsmentioning

confidence: 99%

“…Currently, telematics solutions are used on a larger scale in Italy, Brazil and the United States, among others [3,6,7]. However, these solutions are based, inter alia, on the premium calculation and the invoicing process in motor insurance, these billing models are very general and are not optimally suited to end users [7].…”

Section: Introductionmentioning

confidence: 99%

Influence of telematics of ubi insurance on the management of the fleet of company vehicles

Chaba¹

2021

The Archives of Automotive Engineering – Archiwum Motoryzacji

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The advent and development of connected technologies and the adaptation of large collections of data are changing the face of all industries. A technological area that is gaining more and more in the era of automation and digitization of processes is the scope of utility telematics used mainly in the transport industry. The use of devices based on telematics technology allows for effective management of the vehicle fleet. The information collected and processed by the algorithm makes it possible to increase productivity, reduce costs and increase the safety of business fleets. One of the developing global trends is the use of telematics in the insurance industry to improve the area of risk assessment, and thus to better match the offer to a specific entity. The data flow between an insurer and their customers is growing exponentially, making the need for big data adaptation a cornerstone in the insurer's technological landscape. The aim of the article is to present the results of questionnaire studies presenting the driver's assessment before and after installing telematics devices on board the vehicle. The studies indicate the need to deal with aggressive business fleet drivers and their driving behaviour that has an impact on incidents and traffic incidents when traversing short- and long-haul routes. The comprehensive survey is also used to propose a solution that detects the risks posed by unsafe driving incidents on the road, taking into account the behavioural and emotional factors of the driver. The results of these studies will help the insurance industry to assess driving risks more accurately and propose a personalized premium calculation solution based on driver behaviour, which is most important for loss prevention in business fleets

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Using Factor Analysis to Study the Critical Success Factors of Agile Software Development

Cited by 11 publications

References 16 publications

People Factors Influencing Project Success in Software Development: A Survey of Agile Development Teams in Indonesia

People Factors Influencing Project Success in Software Development: A Survey of Agile Development Teams in Indonesia

Principal Component Factor Analysis of Some Development Factors in Southern Nigeria and Its Extension to Regression Analysis

Influence of telematics of ubi insurance on the management of the fleet of company vehicles

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