Characterizing and evaluating the quality of software process modeling language: Comparison of ten representative model-based languages

García-García, J. A.; Enríquez, J. G.; Mayo, Francisco José Domínguez

doi:10.1016/j.csi.2018.11.008

Cited by 12 publications

(31 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The quality model proposed to evaluate the software process modelling languages considered five common criteria that have been reported in literature before, which are: expressiveness, understandability, conformity to standards, granularity, and executability. They also proposed five new criteria to be considered, which are: orchestration, measurability, business rules support, supporting tools, and validation in real environments [16].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Models to Implement the ISO 9001 Process Approach

El-Khalili¹

2019

IJSEA

View full text Add to dashboard Cite

The ISO 9001 standard is adopted worldwide by organizations from different sectors. The ISO 9001:2015 guidelines for implementing the process approach require not only the identification of the organization processes, but also the description of their interactions as a network system. Flow charts are a common tool adopted in quality management to show the sequence flow of a process. However, they do not show interrelations between different processes. The first aim of this study is to investigate the utilization of some software engineering models to satisfy the process approach requirement in the ISO 9001:2015 standard. The second aim is to show the implementation of the ISO 9001:2015 process approach and the "Plan-Do-Check-Act" (PDCA) cycle to manage academic programs processes as a case study and to present how the proposed models can be utilized to describe the interactions between processes. Finally, the study used a semi-structured interview methodology to evaluate the proposed models based on three criteria: understandability, modifiability and process improvement.

show abstract

Section: Discussionmentioning

confidence: 99%

Evaluation of Models to Implement the ISO 9001 Process Approach

El-Khalili¹

2019

IJSEA

View full text Add to dashboard Cite

show abstract

“…First, in a bottom-up approach, existing Dev-Ops platforms can be studied and their characteristics made explicit in so-called platform models. Second, in a top-down approach, we propose the usage of process modeling languages [21] to explain the DevOps processes. The glue between the two directions is a linking language, which explains how the different services offered the platforms are used by the processes.…”

Section: A Development Methodology Aimed At Bridging the Gap Between mentioning

confidence: 99%

“…For the sake of process specification, DevOpsML needs a software process modeling language (SPML). In [21], a quality model for SPMLs is given.…”

Section: Process Specificationmentioning

confidence: 99%

“…However, it is worth noting that the choice of a particular SPML for process specification is a variation point of DevOpsML. Indeed, different SPML can be chosen from existing ones [21] or new ones can be created following software language and model-driven engineering practices [10,13] to cope with arbitrary SPML's requirements like process modeling capabilities [1] or usability by (non-)technical users.…”

Section: Mc:rolementioning

confidence: 99%

See 1 more Smart Citation

DevOpsML

Colantoni

Berardinelli

Wimmer

2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

View full text Add to dashboard Cite

DevOps and Model Driven Engineering (MDE) provide differently skilled IT stakeholders with methodologies and tools for organizing and automating continuous software engineering activities-from development to operations, and using models as key engineering artifacts, respectively. Both DevOps and MDE aim at shortening the development life-cycle, dealing with complexity, and improve software process and product quality. The integration of DevOps and MDE principles and practices in low-code engineering platforms (LCEP) are gaining attention by the research community. However, at the same time, new requirements are upcoming for DevOps and MDE as LCEPs are often used by non-technical users, to deliver fully functional software. This is in particular challenging for current DevOps processes, which are mostly considered on the technological level, and thus, excluding most of the current LCEP users. The systematic use of models and modeling to lowering the learning curve of DevOps processes and platforms seems beneficial to make them also accessible for non-technical users. In this paper, we introduce DevOpsML, a conceptual framework for modeling and combining DevOps processes and platforms. Tools along with their interfaces and capabilities are the building blocks of DevOps platform configurations, which can be mapped to software engineering processes of arbitrary complexity. We show our initial endeavors on DevOpsML and present a research roadmap how to employ the resulting DevOpsML framework for different use cases. CCS CONCEPTS • Software and its engineering → Abstraction, modeling and modularity; Integration frameworks; Software configuration management and version control systems.

show abstract

“…("ISO 9001:2015(en), Quality management systems -Requirements", s. f.). García menciona que "las organizaciones de software son muy conscientes de que las implementaciones de procesos de software bien definidos mejoran el desarrollo de productos de software y su calidad" (García-García et al, 2019), por esta razón es importante conocer los modelos aplicados durante el desarrollo de aplicaciones móviles y como aportan a la calidad de las mismas. En la Figura 2 se puede observar las responsabilidades de la gestión de procesos de software.…”

unclassified