FACTOR ANALYSIS: INVESTIGATING IMPORTANT ASPECTS                                                  FOR AGILE ADOPTION IN MA...
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Poster: Investigating Important Aspects for Agile Adoption in Malaysia

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Poster: Investigating Important Aspects for Agile Adoption in Malaysia

  1. 1. FACTOR ANALYSIS: INVESTIGATING IMPORTANT ASPECTS FOR AGILE ADOPTION IN MALAYSIA {ala08r, amg, gbw} @ ecs.soton.ac.uk WHAT WE LEARNEDFactor Analysis revealed important aspects for adopting Agile methods in Malaysia. Organisational aspects and software developers’involvement, cultural and people-related aspects were identified as the top factors to be considered when using Agile methods. Theadopters in this study were found to be from mixed-race teams and are using English in their daily business, thus proving Agile can bepracticed with different races in a team. The analysis also showed that language aspect should not be undermined when using Agilemethods. This can help as a guidelines for software practitioners in a region and country which the information and studies about themethods are still lacking. BACKGROUND PROCEDURES FACTOR EXTRACTION27 variables from a survey of early Agile 1. Determining data suitability Factor Eigenvalues 9adopters in Malaysia were put into factor for factor analysis. (Or (Total) 8 1 component)analysis; using SPSS version 17. Each 2. Factor extraction: to 7 1 7.852variable for this analysis has a six-point determine the smallest 6 2 2.534 EigenvalueLikert-scale (from strongly agree to strongly number of factors best 3 1.937 5disagree). represent the inter- 4 1.638 4 relationship of data. 5 1.543 OBJECTIVES 3. Factor rotation: Here factors 6 1.182 3 2 are ‘rotated’ to improved the 2 345• To identify clusters of the variables (or items) 7 1.080 678and how they are inter-related to produce interpretability of the factors. 8 1.028 1 27factors. 4. Interpretation and give 9 0.890 0• Agile dimension and meanings of the meaning to each factors. . . 0 10 20 30 . . Factor (or Component) Numbervariables important for software practitioners 27 0.093 Figure: Scree Plot (Factor extraction)in Malaysia can be understood. Table: Eigenvalues•Factor analysis can help to provide a summaryfor data inter-relationship from Agile adoption THE 8 FACTORS IDENTIFIED FROM FACTOR ANALYSISin Malaysia. Factor 1: Developers’ Involvement and Organisational-related Aspects. SUITABILITY OF DATA Factor 2:Organisational Culture and People-related Aspects. Factor 3: Customers’ Involvement when Practicing Agile Methods.• Keiser-Meyer-Olkin (KMO) – a measure of Factor 4: Benefits/Impact when using Agile Methods.sampling adequacy ranges from 0 to 1. Factor 5: Disagreement over the Importance of Training and Learning when using Agile methods in Malaysia.• From this analysis, a KMO of 0.755 was Factor 6: Lack of Importance of Technical and Technological Aspects when using Agile Methods in Malaysia.obtained. Factor 7: Importance of Sharing, Knowledge-related Aspects. Factor 8: Team Commitment and Clarity of Purpose.

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