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The assessment of COBIT process maturity levels is fraught with a number of problems regarding the objectivity of the assessment results. Unlike ISO/IEC 15504, COBIT does not define an assessment model. The purpose of this paper is to align the behavioural aspects of the six COBIT process attributes with achievement results defined for the nine process attributes associated with the ISO/IEC 15504‐2 measurement scale. The authors believe that this alignment permits a translation of the ISO/IEC 15504 assessment data into an objective COBIT process maturity rating.

The tables presented in the paper identify the COBIT process attributes, the applicable ISO/IEC 15504 process attribute achievement results and the aggregated rating that pertains to the selected achievement results. A final table lists the derived COBIT process maturity level in terms of the ratings for the ISO/IEC 15504 process attribute achievement results for an assessed process.

The objectivity of the aggregated result (COBIT process maturity level) appeals strongly to end‐users of this measurement result, particularly where contractual obligations must be satisfied.

The method is useful where measurement rigour must be demonstrated in the computation of the COBIT process maturity levels.

This assessment and computational method was developed and trialled in the second half of 2010 in the context of the assessment of 13 information technology (IT) service management processes at two different customer sites. The material is of special value to service managers in companies that have outsourced IT service management processes to external IT service providers.

The purpose of this paper is to address the development of a conceptual framework to drive and assess the quality of software production in the digital ecosystem domain.

This research used action research paradigm, the soft methodology SSM and the framework PRO2PI-MFMOD. The methodologies were applied at Brazilian Public Software Ecosystem.

The results of this research shows: the dimension of the capacity, as suggested by ISO/IEC 15504, is insufficient for quality treatment in certain domains; SSM methodology is suitable for scope and domain clarification in digital ecosystems; and PRO2PI-MFMOD framework is suitable to create a reference model process for digital ecosystems software production.

A complete SSM cycle was conducted, but with only one research cycle. In that sense, the results obtained in this research can be interpreted as boundaries to reflections regarding the learning occurred in the system.

The research offers an empirical contribution, mapping and defining maturity framework elements that can be used by the software production digital ecosystems, aiming the description and understanding of the phenomenon through the theoretical views of complexity theory, systemic thinking, digital ecosystems and maturity models.

The contributions can be summarized in the following aspects: the maturity models evolution, shifting from command and control basis to cooperation and connection basis; the maturity models scope, drifting from organizational units to collaborative networks of software production; the assimilation and broadcast of digital ecosystems concept by MCTI; and the maturity levels introduced in the research can be used as a particular case of capacity dimension of the further ISO/IEC 33000 standards.

Through the results obtained with systematic revision of the literature, one can notice the absence of publications that approach all the four axes that ground this research simultaneously. The proposed subject is original and relevant to the software community in the matter of software process improvement and to the current and further public digital ecosystems of software development.

The purpose of this paper is to present a self-certification framework for assessing technological innovation and certifying superior products. The paper discusses how and why organizational efforts to implement the self-certification program can lead to product and process innovation.

Using the case study method in a large government-sponsored research and development institute, the authors examined the effectiveness of the proposed framework.

The finding indicates that the success of the self-certification program is dependent on the ability of a firm to manage processes. The result also suggests that it is critical to develop an internal-driven motivation and ensure the strong commitment of top management when implementing the self-certification program. The finding reveals that the voluntary certification program has a positive effect on innovation and marketing performance.

This study makes three contributions. First, the paper offers valuable insights on the use of a self-certification framework as a problem-solving tool in the innovation process. Second, based on the self-regulation theory, this study enhances the understanding of the potential of control in facilitating technological innovation. Third, the paper provides practical guidance about the application of self-assessment at the project level.

Connected Health is an emerging and rapidly developing field never before witnessed across the healthcare sector. It has the potential to transform healthcare service systems by increasing its safety, quality and overall efficiency. However, as healthcare technologies or medical devices continuously rely more on software development, one of the core challenges is examining how Connected Health is regulated – often impacting Connected Health innovation. The purpose of this paper is to present an understanding of how Connected Health is regulated. Many of these regulatory developments fall under “medical devices”, giving rise to Software-as-a-Medical Device (SaaMD).

Through an extensive literature review, this paper demystifies Connected Health regulation. It presents the outcome of expert discussions which explore the key regulatory developments in the context of Connected Health to provide a practical guide to understanding how regulation can potentially shape healthcare innovation.

Several key issues are identified, and the authors present a comprehensive overview of regulatory developments relating to Connected Health with a view to support the continued growth of IT-enabled healthcare service models. The authors also identify the key challenges in Connected Health and identify areas for future research.

A key outcome of this research is a clearer understanding of the opportunities and challenges that regulation and standards present to Connected Health. Furthermore, this research is of critical importance in a first attempt towards recognising the impact of regulation and standards compliance in Connected Health.

Examines the ISO 9001/2 requirement that the capability of a supplier to supply a product or service should be assessed. In practice the development of a preferred supplier list is driven by qualitative rather than quantitative factors of supplier capability. In the field of software considerable progress has been made towards developing models which when applied yield quantitative measures of supplier capability. The emerging ISO/IEC 15504 Standard for software process assessment is examined as a framework for application in application domains other than software. Examines an automated tool, created in the Software Engineering Applications Laboratory to support ISO/IEC 15504 compliant software process assessments, for suitability for application in process assessment in areas other than software.

For most software companies, the pressure for process improvement arises from the direction of a recently released standard in the domain of process assessment and determination of capability (ISO 15504). In the case of ISO 9001 a valuable framework for evaluation of the degree of compliance to this standard is provided by SABS ARP 042: 1997, while ISO 15504 Part 5 offers a detailed assessment model for a suite of processes important to software development and maintenance. There will be obvious benefits to a company if the data collected during assessments conducted using either the ISO 9001 or ISO 15504 models can be applied with minimal additional effort to provide capability achievement profiles associated with either model. It is shown that the work products produced in the development and maintenance processes represent the link between the two models. The paper illustrates how the process assessment tool developed by the Software Engineering Applications Laboratory provides the facilities for conducting assessments using these models and mapping the results to the application model of either model.

Information technology service management (ITSM) has become a major IT department management system in organizations. Successful implementation of ITSM depends on select adequate ITSM software. Evaluation and selection of the ITSM solution or software packages is complicated and time-consuming decision-making problem. This paper aims to present an approach for dealing with such a problem.

This approach introduces functional, non-functional requirements and novel fuzzy out-ranking evaluation method for ITSM software selection. The presented approach breaks down ITSM software selection criteria into two broad categories, namely, functional (service strategy, service design, service transition, service operation, continual service improvement according to Information Technology Infrastructure Library V3) and non-functional requirements (quality, technical, vendor, implementation) including totally 46 selection criteria. A novel fuzzy superiority and inferiority ranking (FSIR) was developed and made applicable for ITSM software selection based on identified criteria.

The proposed approach is applied to IT services company to select and acquire ITSM software, and the provided numerical example illustrates the applicability of the approach for this choice. The approach can facilitate firms to achieve suitable ITSM software and have a precise acquisition decision; however, the limitation of dependency on experts’ competence and proficiency in the both ITSM field and IT technical issues exists.

The approach can facilitate firms to achieve suitable ITSM software and have a precise acquisition decision; however, the limitation of dependency on experts’ competence and proficiency in the both ITSM field and IT technical issues exists.

Facilitating of ITSM implementation through its handy software selection is the major impact of current research.

A facile FSIR-based approach for software selection has been customized to contribute to the current literature in the ITSM field. Facilitating of ITSM implementation through its handy software selection is the major impact of current research.

This study aims to investigate the criteria to measure and manage a software project’s quality indicator elements needed to implement system integration in the Industry 4.0 era.

The standard software process model SPICE: a crucial part of the system integration software development process, is analyzed to explore how the factors of the SPICE model rate qualitatively on the quality scorecard (QSC). QSC is a qualitative performance measurement model based on the cost of quality (COQ) perspective. The SPICE model’s effectiveness is examined in terms of system integration (SI) quality, and factors for improving this quality are determined.

The authors proposed future directions for improving SI management. The seven SPICE process groups were analyzed comparatively by matching them to the QSC. The SPICE model was found to achieve 63% with the required factors in QSC. Also, the uncommitted items indicated need to be considered for additional management in SI quality.

Since SPICE is revised every five years, it is suggested from this study that diagnosing the assessment items from the COQ perspective using QSC is one strategy to quickly enhance the quality of SI management in this rapidly changing technology revolution.

This research is the first study of its kind, proposing a methodology for adapting quickly to the Fourth Industrial Revolution’s changes and showing how the standards have changed the SPICE model over time.

The purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science capability/maturity level assessment, deriving a gap analysis, and creating a comprehensive roadmap for improvement in a standardized way.

This paper systematically reviews and synthesizes the existing literature-related to data science and 183 practitioners' considerations by employing a survey-based research method. By blending the findings of this research with a well-established process capability maturity model standard, International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 330xx, and following a methodological maturity development framework, a theoretically grounded model, entitled as the data science capability maturity model (DSCMM) was developed.

It was found that organizations seek a capability/maturity model standard to evaluate and improve their current data science capabilities. To close this research gap, the DSCMM is developed. It consists of six capability maturity levels and twenty-seven processes categorized under five process areas: organization, strategy management, data analytics, data governance and technology management.

This paper validates the need for a process capability maturity model for the data science domain and develops the DSCMM by integrating literature findings and practitioners' considerations into a well-accepted process capability maturity model standard to continuously assess and improve the maturity of data science capabilities of organizations.

The purpose of this paper is to discuss a self‐assessment scheme and processes that are developed for and applied to a R&D organization based on ISO 9004:2000. The presented self‐assessment has been performed during internal audits based on quality management system in Electronics and Telecommunications Research Institute (ETRI) in Korea.

In order to enhance the reliability of the self‐assessment, the preliminary works such as training, workshop, case study and pre‐assessment rating are performed in advance before self‐assessment. Furthermore, this paper evaluates the reliability of self‐assessment results using Cohen's Kappa coefficient and the observed agreement index.

The results of this paper present that an organization's performance maturity level evolves sustainably through self‐assessment scheme and processes.

These results and lessons learned will be very useful to the organization that intends to enhance the performance of its R&D projects and processes and improve its processes continuously.

ISO 9004:2000 presents the guidelines of self‐assessment for the organization that intend to continually improve its performance considering the effectiveness and efficiency of a quality management system. According to ISO 9004, the range and depth of self‐assessment should be planned in relation to the organization's objectives and priorities. This paper discusses a self‐assessment scheme and processes that are developed for and applied to a R&D organization based on ISO 9004:2000.