2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2017
DOI: 10.1109/seaa.2017.61
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Assessment of Agility in Software Organizations with a Web-Based Agility Assessment Tool

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Cited by 9 publications
(6 citation statements)
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“…A continuación, se presentan los resultados del análisis de cada uno de los estudios primarios a través de cada una de las preguntas de investigación. E1 Adept: a unified assessment method for small software companies [25] E2 A disciplined approach to adopting agile practices: the agile adoption framework [26] E3 On the measurement of agility in software process [27] E4 An evaluation of the degree of agility in six agile methods and its applicability for method engineering, 2008 [28] E5 CEFAM: comprehensive evaluation framework for agile methodologies 2008 [29] E6 Project agility assessment: an integrated decision analysis approach 2008 [30] E7 Using a validation model to measure the agility of software development in a large software development organization 2009 [31] E8 A practical measure for the agility of software development processes [32] E9 Study on assessment framework of software process in agile [33] E10 A methodology for assessing agile software development methods [34] E11 A model for measuring agility in small and medium software development enterprises [35] E12 Towards a framework for assessing agility [36] E13 Development of the organizational agility maturity model [37] E14 A reference model for software agility assessment: Agilitymod [15] E15 Assessment of agility in software organizations with a web-based agility assessment tool [38] E16 ASA: agile software development self-assessment method [39] E17 Squad Health Check model [40] E18 Scrum Level [41] Con relación al alcance de la evaluación, el 22,2% de los estudios (E1, E3, E8, E9) propone evaluar el proceso software usado por la organización; otro 22,2% de los estudios (E4, E5, E10, E16) propone evaluar un enfoque de desarrollo en particular, por ejemplo Scrum, XP o una adaptación; el 22,2% de los estudios (E11, E12, E13, E18) propone evaluar la agilidad de una organización, el 16,7% (E6, E14, E15) se enfoca en evaluar la agilidad de un proyecto de desarrollo de software, el 11,1% (E2, E7) ha sido propuesto para evaluar la agilidad tanto de organizaciones como de proyectos, y el estudio E17 que corresponde al 5,5% permite evaluar la agilidad de un equipo de desarrollo (Fig. 1).…”
Section: Resultsunclassified
“…A continuación, se presentan los resultados del análisis de cada uno de los estudios primarios a través de cada una de las preguntas de investigación. E1 Adept: a unified assessment method for small software companies [25] E2 A disciplined approach to adopting agile practices: the agile adoption framework [26] E3 On the measurement of agility in software process [27] E4 An evaluation of the degree of agility in six agile methods and its applicability for method engineering, 2008 [28] E5 CEFAM: comprehensive evaluation framework for agile methodologies 2008 [29] E6 Project agility assessment: an integrated decision analysis approach 2008 [30] E7 Using a validation model to measure the agility of software development in a large software development organization 2009 [31] E8 A practical measure for the agility of software development processes [32] E9 Study on assessment framework of software process in agile [33] E10 A methodology for assessing agile software development methods [34] E11 A model for measuring agility in small and medium software development enterprises [35] E12 Towards a framework for assessing agility [36] E13 Development of the organizational agility maturity model [37] E14 A reference model for software agility assessment: Agilitymod [15] E15 Assessment of agility in software organizations with a web-based agility assessment tool [38] E16 ASA: agile software development self-assessment method [39] E17 Squad Health Check model [40] E18 Scrum Level [41] Con relación al alcance de la evaluación, el 22,2% de los estudios (E1, E3, E8, E9) propone evaluar el proceso software usado por la organización; otro 22,2% de los estudios (E4, E5, E10, E16) propone evaluar un enfoque de desarrollo en particular, por ejemplo Scrum, XP o una adaptación; el 22,2% de los estudios (E11, E12, E13, E18) propone evaluar la agilidad de una organización, el 16,7% (E6, E14, E15) se enfoca en evaluar la agilidad de un proyecto de desarrollo de software, el 11,1% (E2, E7) ha sido propuesto para evaluar la agilidad tanto de organizaciones como de proyectos, y el estudio E17 que corresponde al 5,5% permite evaluar la agilidad de un equipo de desarrollo (Fig. 1).…”
Section: Resultsunclassified
“…Still, 22.2% of the studies [16], [17], [18], [19] focus on assessing the agility of companies. 16.7% [4], [20], [21] focus on assessing the agility of software development projects. 11.1% [22] propose to assess the agility of companies and their projects.…”
Section: A Related Workmentioning
confidence: 99%
“…The results are obtained by automatically analyzing the collected data to measure the process capability. The work by [16] presents the AssessAgility software tool that aims at automating and guiding the assessment process based on an exemplar assessment process containing the definitions and guidance to conduct assessments following AgilityMod [4], which is a reference model for performing agility assessment in organisations. The work by [13] describes the development of a Software as a Service tool for carrying out business process assessment projects using the TIPA framework [21].…”
Section: Related Workmentioning
confidence: 99%
“…The improvement of the assessment process is an open research subject that is addressed in both the scientific community and the industry. Several initiatives from different domains such as business process [13], software engineering process [11,14], enterprise interoperability [15], or organisational agility [16] have been proposed throughout the years in the search for assessment approaches with their activities improved through automation methods so as to provide trustworthy, relevant and adaptable results, and to reduce the time and effort of carrying out the assessment. Due to this tendency towards automation, providing smart capabilities to the assessment process may represent a step closer towards the achievement of more efficient appraisals.…”
Section: Introductionmentioning
confidence: 99%