Constructing a Shared Infrastructure for Software Architecture Analysis and Maintenance

Software Architecture for Quantum Computing Systems -- A Systematic Review

“…For example, as per Figure 7, the reviewed studies [S1, S2] help us to identify the architectural requirements to support efficient and secure transmission of quantum information over quantum network. The proposed architectural model as in Figure 7 relies on a pipe and filter architectural pattern [35] that supports generation, transmission, and reconciliation of a quantum key to secure quantum information that travels over quantum network. To support the modeling, architectural implementation is enabled via components, representing computational units for source (transmitter) and target (receiver) nodes in the network that coordinate quantum information via component ports.…”

“…Architectural models have been exploited to design, develop, and validate emerging generations of software-intensive systems including but not limited to the internet of things [30,31], blockchain applications [32,33], and artificially intelligent systems [34]. Quantum Software Architecture (QSA), as a new genre of Software Architectures (SA), can provide architectural descriptions (i.e., components, connectors, and configurations) to design and develop quantum software, while abstracting complex and implementation specific tasks [26,35]. Specifically, architectural components can represent modules of source code while architectural connectors specify interactions between modules to represent the structure and behavior of a system [35].…”

“…Quantum Software Architecture (QSA), as a new genre of Software Architectures (SA), can provide architectural descriptions (i.e., components, connectors, and configurations) to design and develop quantum software, while abstracting complex and implementation specific tasks [26,35]. Specifically, architectural components can represent modules of source code while architectural connectors specify interactions between modules to represent the structure and behavior of a system [35]. Transformation from abstract high-level models (i.e., design artifacts) to low-level executable specifications (i.e., source code artifacts) can be enabled via model-driven architecting of quantum software [36] [37].…”

“…However, QSA as an emerging discipline remains an under-explored area by the current generation of designers and architects who find themselves less prepared to tackle the challenges related to QSA in the development life-cycle of quantum software [38] [39] [40]. Despite a plethora of published research in recent years that focuses on engineering and architecting quantum software [35] [36] [37] [38], there do not exist any evidence, i.e., empirical study or data-driven analysis to consolidate a collective impact of existing research on architecting quantum software. Systematic Literature Reviews (SLRs) rely on Evidence-based Software Engineering (EBSE) approach to identify, classify, compare, and synthesise published research as an evidence to empirically investigate the topic under investigation [41] [29].…”

ArCode: A Tool for Supporting Comprehension and Implementation of Architectural Concerns

“…Previous studies [1], [5] emphasize the significance of correct tactic implementation. In practice, developers-especially less experienced ones-face challenges in correctly implementing chosen tactics [6], resulting in software bugs and flaws [7]. Insufficient experience, limited knowledge of architectural tactics, and unfamiliarity with the underlying framework and the code base are primary factors contributing to an incorrect implementation of these tactics [8].…”