Reinforcing the applicability of multi-model environments for software process improvement using knowledge management

Mejía, Jezreel; Muñoz, Edrisi; Muñoz, Mirna

doi:10.1016/j.scico.2015.12.002

Cited by 24 publications

(12 citation statements)

References 10 publications

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“…The ontology-based approach would suit for process harmonisation of two to three frameworks. Since the ontological model is based on reductionist approach, it cannot harmonise large number of process frameworks due to the inability in managing large amounts of information (Mejia et al 2016). The summary of findings to research questions is provided in Table 4.…”

Section: Resultsmentioning

confidence: 99%

“…Bahn, D., Betz, C., Gluhova, S., Khan, F., Lebens, M., Mosman, M., Paulson, P., Olagunju, A., Opatrny, J., Spencer, G., and Tarmizi, H. 2016 DevOps, ITIL Process Architecture (Mejia et al 2016) ITIL, COBIT, CMMI, Six sigma Process Mapping (Năstase et al 2009) COBIT, ITIL, ISO/IEC 27002 Process Mapping (Oktadini and Surendro 2014) ITIL, Six Sigma Process Mapping (Pardo et al 2012) ITIL, ISO, CMMI, COBIT Process Ontology (Pardo et al 2013) CMMI, ITIL, COBIT, SWEBOK Process Ontology (Pardo et al 2014) CMMI, ISO, ITIL, COBIT, RiskIT…”

Section: Referencesmentioning

confidence: 99%

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IT Service Management Knowledge Ecosystem – Literature Review and a Conceptual Model

Ramakrishnan

Shrestha

Cater-Steel

et al. 2018

Australasian Conference on Information Systems 2018

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Information Technology Service Management (ITSM) is a customer-centric approach to manage IT Services in order to provide value to the business. The ITSM Knowledge ecosystem comprises multiple knowledge areas including process frameworks, technology tools and skills. Organisations struggle to comprehend the ecosystem due to the dynamic nature and volume of the business technology environment. A Systematic Literature Review was conducted to understand the state of the current research in ITSM knowledge ecosystem. The review indicated that the focus of the existing research is skewed towards process frameworks knowledge area and neglects tools and training. The approach proposed in the extant research fails to provide a holistic view of the ecosystem. To overcome the limitations a conceptual model is proposed based on Knowledge Commons theory.

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Section: Resultsmentioning

confidence: 99%

Section: Referencesmentioning

confidence: 99%

IT Service Management Knowledge Ecosystem – Literature Review and a Conceptual Model

Ramakrishnan

Shrestha

Cater-Steel

et al. 2018

Australasian Conference on Information Systems 2018

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“…Researchers have believed that application of KM techniques facilitate in developing a reliable, cost-efficient, secure, usable and maintainable software product. KM practices when adopted will positively affect software development and maintenance [13,16,21].…”

Section: Related Work and Hypothesis Formulationmentioning

confidence: 99%

Effect of knowledge management on software product experience with mediating effect of perceived software process improvement: An empirical study for Indian software industry

Chugh

Nitin

Upadhyay

et al. 2019

Journal of Information Science

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The software development industry is characterised by swift innovation and competition. To survive, software engineering (SE) organisations need to develop high-quality software products in a timely fashion and at low cost. Knowledge-based approaches to software development are extremely supportive to acquiring new knowledge and leveraging existing knowledge from software projects; this enables constant improvement of software development practices. In this empirical study of Indian SE organisations, we study the impact of managing knowledge for perceived software process improvement (PSPI) and its effect on software product quality. Information technology (IT) in knowledge management (KM) is an important facilitator for any SE organisation desiring to exploit evolving technologies for management of their knowledge assets and for carrying out various KM processes of knowledge capture, storage, retrieval and sharing. Surveys collected from Indian SE organisations were analysed to propose a model using a structured equation modelling (SEM) technique. Our findings reveal that the relation between KM and quality of software product is positively mediated by PSPI. These findings reinforce an arena that is of growing importance to researchers and practitioners and which has seen only a limited number of empirical studies to date in the context of Indian SE organisations.

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“…Las estrategias de presentación puede entenderse como la forma de disponer de principio a fin la información en nodos de presentación (como por ejemplo texto, imágenes, etc.) y de combinar estos nodos de presentación, de forma que faciliten la comprensión de la información (Mejia, Muñoz & Muñoz, 2016).…”

Section: Modelo De Presentaciónunclassified

Un método para generar explicaciones de resultados de un Sistema Experto, usando Patrones de discurso y Ontología

Flores

Hadfeg

2017

risti

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Resumen: Los Sistemas Expertos (SE) usualmente generan árboles de inferencia de tamaño considerable, antes de mostrar los resultados relativos al comportamiento de sistemas dinámicos complejos a los usuarios interesados en dicho comportamiento. Estos árboles de inferencia, a pesar de incluir información que podría contribuir a comprender mejor los resultados mostrados por un SE, no son presentados a los usuarios ya que pueden ser complejos de comprender y pueden agrandar considerablemente (e innecesariamente) las salidas del SE. Sin embargo, estos árboles de inferencia contienen importante información acerca de cómo un SE infiere y concluye respecto al comportamiento del sistemas dinámicos complejos, y además pueden ayudar a crear confianza en los resultados aportados por el SE. Este documento describe un método para crear explicaciones basadas en las conclusiones parciales por las que transita un SE, para concluir a cerca del comportamiento de un sistemas dinámicos complejos. Las entradas a nuestro método son: el árbol de inferencia y el conocimiento del dominio representado mediante una Ontología. La salida del método es un plan de generación de presentación que usa patrones de discurso y estructuras discursivas (plantillas de texto y directivas gráficas), este conocimiento también es representado usando una Ontología. El documento describe también la arquitectura del software para generar las explicaciones y los casos de prueba diseñados en el contexto de un caso de estudio en el dominio de sistemas dinámicos complejos.Palabras-clave: Sistemas Expertos; Sistemas de data-to-text; Representación de conocimiento en sistemas dinámicos; Ontologías; Sistemas Inteligentes de generación de presentaciones multimedia.A method for generating explanations of results of an Expert System, using Speech Patterns and Ontology Abstract: Expert systems (ES) usually generate extensive inference-trees before showing to users a definitive result related to a complex dynamic system (DS)

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Reinforcing the applicability of multi-model environments for software process improvement using knowledge management

Cited by 24 publications

References 10 publications

IT Service Management Knowledge Ecosystem – Literature Review and a Conceptual Model

IT Service Management Knowledge Ecosystem – Literature Review and a Conceptual Model

Effect of knowledge management on software product experience with mediating effect of perceived software process improvement: An empirical study for Indian software industry

Un método para generar explicaciones de resultados de un Sistema Experto, usando Patrones de discurso y Ontología

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