A Process Based Unification of Process-Oriented Software Quality Approaches

Kelemen, Zádor Dániel

doi:10.1109/icgse.2009.39

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…Enterprise SPICE is an initiative to establish an Enterprise Integrated Standards-Based model for use with international standard ISO/IEC 15504 (SPICE) [6]. In [36] a work is presented that identifies principles and process characteristics for designing a system of processes at the architectural level and in [37] we can discover research that defines a method for process-based unification of different approaches to multiple process-oriented software quality.…”

Section: Trends Of the Publications Multi-model Environments In Softwmentioning

confidence: 99%

Trends in Harmonization of Multiple Reference Models

Pardo

Pino

García

et al. 2011

Communications in Computer and Information Science

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Diverse models currently exist in the field of Software Engineering which help organizations to apply recommended practices in order to support ther multiple needs in the areas of software development, maintenance and operation, security, IT government, etc. Examples of such models are CMMI, ISO 9001, ISO 12207, ISO 27001, COBIT, ITIL. Nevertheless, many differences exist between these models, since each model defines its own structure, terminology, definitions and quality systems, amongst other aspects. This issue increases the complexity when an organization is required to apply two or more models in order to satisfy its needs. Organizations must, therefore, define the most appropriate means of choosing and implementing multi-models, and harmonization may be one solution. This paper presents a systematic literature review with the aim of analyzing the state of the art with regard to inititatives concerning the harmonization of multiple reference models. As a result, it has been concluded that there is currently a lack of guidelines with which to help organizations to implement the harmonization of multiple models, and of a unified terminology with which to homogenize the diversity of the structure of the different models and the harmonization techniques which can be applied. In order to address these issues, a framework to support the harmonization of multiple models is outlined

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Section: Trends Of the Publications Multi-model Environments In Softwmentioning

confidence: 99%

Trends in Harmonization of Multiple Reference Models

Pardo

Pino

García

et al. 2011

Communications in Computer and Information Science

View full text Add to dashboard Cite

show abstract

“…Unlike to random faults, it is not possible to predict the probability of systematic faults. Instead the associated risks are addressed in terms of process-based [8] (e.g., following well-defined development procedures such as recommended by ISO 26262), constructive [9] (e.g., using fault-tolerant system and software architectures) and analytical approaches (e.g., static and dynamic verification) to quality assurance.…”

Section: Safety and Malfunctioningmentioning

confidence: 99%

Quality assurance methodologies for automated driving

Wotawa

Peischl

Klück

et al. 2018

Elektrotech. Inftech.

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For safety critical systems like cars, trains, or airplanes quality assurance methods and techniques are crucial for preventing situations that may harm people. The case of automated driving represents the next level of safety critical systems where additional challenges arise. This includes the question of how to assure that artificial intelligence and machine learning based systems fulfill safety criticality requirements under all potential conditions and situations that may emerge during operation. In this paper, we first review simulation-based verification and validation methods for such systems and afterwards discuss necessary requirements and future research challenges that have to be solved in order to bring automated driving into practice without compromising safety requirements.

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“…Hwang and Yeom (2009) made extensive analysis on relationship among ISO/IEC 15504 CMMI models. Kelemen et al (2010) published their results on process based unification of process-oriented software quality approaches to qualify the results of CMMI approach in various software organization. Yucalar and Erdogan (2009) developed a novel questionnaire method for CMMI level 2 maturity assessment.…”

Section: Introductionmentioning

confidence: 99%

Software Process Maturity and Capability Evaluation and Its Implementation in the Areas of E-Learning Organizations

Chennakrishnan¹

2014

Journal of Computer Science

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A detailed literature review revealed that, most of the organizations develop their projects and associated software engineering activities using in-house established methods. There are discrete references in the literature on application of broad based scientific methods in designing and developing process capability and maturity models by software organizations. Documentation and extent of adherence to a well defined organized scientific method plays a major role in standardizing the systems. Capability Maturity Model Integration (CMMI) is a recognized model for providing process maturity and capability in managing the software engineering activities. Further, the area of development of process models for optimization and implementation of thrust areas were not given due attention by researchers. To address above issues, we made an attempt in this study (i) to review the extent to which software organization make use of software process capability models, (ii) to develop an organized software process modeling and (iii) to evaluate its performance through a case study conducted in an IT industry developing E-learning maturity models and to arrive at optimized model for E-Learning thrust areas. The basis for above work is drawn by comparing the existing methods and tools used, with international models. The major contribution of present work is that, the proposed process capability model will enable organizations to follow broad based scientific methods for pre modeling their software activities and will also enable them to form levels that result in bench mark approach for E-Learning modules.

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A Process Based Unification of Process-Oriented Software Quality Approaches

Cited by 7 publications

References 4 publications

Trends in Harmonization of Multiple Reference Models

Trends in Harmonization of Multiple Reference Models

Quality assurance methodologies for automated driving

Software Process Maturity and Capability Evaluation and Its Implementation in the Areas of E-Learning Organizations

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