A guideline for software architecture selection based on ISO 25010 quality related characteristics

Haoues, Mariem; Sellami, Asma; Ben-Abdallah, Hanêne; Cheikhi, Laila

doi:10.1007/s13198-016-0546-8

Cited by 37 publications

(32 citation statements)

References 105 publications

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“…Others concentrate on other features such as reliability (RL), adaptability or agility (AA), reconfigurability (RC), and dependability (DP). All of these characteristics are enlisted and described in Table 2, according to [8,12,20,21].…”

Section: Related Workmentioning

confidence: 99%

“…The approach of Rehberger [19] is designed for achieving both flexibility and availability during run-time (for coping with unknown product recipes and breakdowns of sub Table 2 Description of characteristics for CPPS [8,12,20,21] Feature Description Flexibility/changeability [12,21] (FC) It is often the grade to which a product or system can be used with effectiveness, efficiency, freedom from risk, and satisfaction in contexts beyond those initially specified in the requirements Reliability [21] (RL) A set of attributes that bear on the capability of software to maintain its level of performance under stated conditions for a stated period of time (four attributes: maturity, fault tolerance, recoverability, reliability compliance)…”

Section: Related Workmentioning

confidence: 99%

“…In the end, an ideal final stage of the MAS design phase would be its standardization (creation of norm). International institutions such as ISO, ASME, IEC, IEEE, and others might endorse both, MAS architectures and methodologies, as a current standard for smart manufacturing as supported by experts [3,4,21]. The evaluation of the criteria proposed in this section is introduced as follows based on MAS approaches for manufacturing.…”

Section: Classification Criteria For Mas Patterns (Rq1)mentioning

confidence: 99%

“…Functionalities refer to the sub-agents' services (functional requirements) and the quality of them (non-functional requirements) [21]. The flexibility of manufacturing systems is realized by an agent-based control.…”

Section: Common Functionalities and Automation Level Patterns (Rq3)mentioning

confidence: 99%

“…The IEC 61511 applies the functional safety and the IEC 62061/ISO13849 relates the machinery safety. Software quality can be valued by ISO/ IEC 25010 and the ISO/IEC 25023 (SQuaRE method) [21]. Semantic web stack can follow the W3C consortium definitions such as SPARQL, RIF/SRWL, RDF/S, and OWL.…”

Section: Design Pattern For the Administration Shellmentioning

confidence: 99%

See 4 more Smart Citations

Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

Salazar

Ryashentseva

Lüder

et al. 2019

Int J Adv Manuf Technol

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The growing complexity of production systems requires appropriate control architectures that allow flexible adaptation during their runtime. Although cyber-physical production systems (CPPS) provide the means to cope with complexity and flexibility, the migration with existing control systems is still a challenge. The term CPPS denotes a mechatronic system (physical world) coupled with software entities and digital information (cyber part), both enabling the smart factory concept for the Industry 4.0 (I4.0) paradigm. In this regard, design patterns could help developers to build their software with common solutions for manufacturing control derived from experiences. We provide a description and comparison of the already existing multi-agent systems (MAS) design patterns, which were collected and classified by introducing two classification criteria to support MAS developers. The applicability of these criteria is shown in the case of specific example architectures from the lower and higher control levels. The authors, together with experts from the German Agent Systems committee FA 5.15, gathered more than twenty MAS patterns, evaluated, and compared four selected patterns with the presented criteria and terminology. The main contribution is a CPPS architecture that fulfills requirements related to the era of smart factories, as well as the Reference Architectural Model I4.0 (RAMI 4.0). The conclusions indicate that agent-based patterns greatly benefit the CPPS design. In addition, it is shown that manufacturing based on MAS is a good way to address complex requests of the CPPS development.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Classification Criteria For Mas Patterns (Rq1)mentioning

confidence: 99%

Section: Common Functionalities and Automation Level Patterns (Rq3)mentioning

confidence: 99%

Section: Design Pattern For the Administration Shellmentioning

confidence: 99%

See 3 more Smart Citations

Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

Salazar

Ryashentseva

Lüder

et al. 2019

Int J Adv Manuf Technol

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Factors affecting architectural decision‐making process and challenges in software projects: An industrial survey

Demir,

Chouseinoglou,

Tarhan

2024

J Software Evolu Process

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Software architecture plays a fundamental role in overcoming the challenges of the development process of large‐scale and complex software systems. The software architecture of a system is the result of an extensive process in which several stakeholders negotiate issues and solutions, and as a result of this negotiation, a series of architectural decisions are made. This survey study aims to determine the experiences of the software industry experts with respect to architectural decision‐making, the factors that are effective in decision‐making, and the technical and social problems they encounter. An online questionnaire‐based survey was conducted with 101 practitioners. The responses were analyzed qualitatively and quantitatively. Analysis of responses revealed that the majority of the participants prefer to document some or all of the architectural decisions taken and to store these documents in web‐based collaboration software. Decisions are usually made by teams of two or three, and discussion‐based approaches (brainstorming and consensus) are adopted. In the software architecture decision‐making process, “major business impact” is the most challenging situation. Information sharing and keeping track of decisions and decision rationale are areas in need of improvement as identified by most participants. From the participants' feedback and their answers to open‐ended questions, we concluded that the software architecture decision‐making process has an important role in the industry. Our key findings are that decisions made in the architectural decision‐making process are taken by teams and generally all decisions are documented. In projects where decisions are made by a single person, peer pressure is found to be significantly different from pressure in projects where decisions are made by the group. This is an indication that as the number of people in the decision‐making process increases, the disagreements also increase.

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Automotive User Interface Based on LSTM-Grid Search Deep Learning Model for IoT Security Change Request Classification

Sakhrawi,

Labidi,

Sellami

et al. 2024

Lecture Notes on Data Engineering and Communications Technologies

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A guideline for software architecture selection based on ISO 25010 quality related characteristics

Cited by 37 publications

References 105 publications

Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

Cyber-physical production systems architecture based on multi-agent’s design pattern—comparison of selected approaches mapping four agent patterns

Factors affecting architectural decision‐making process and challenges in software projects: An industrial survey

Automotive User Interface Based on LSTM-Grid Search Deep Learning Model for IoT Security Change Request Classification

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