Architecture description language

Architecture description languages (ADLs) are used in several disciplines: system engineering, software engineering, and enterprise modelling and engineering.

The system engineering community uses an architecture description language as a language and/or a conceptual model to describe and represent system architectures.

The software engineering community uses an architecture description language as a computer language to create a description of a software architecture. In the case of a so-called technical architecture, the architecture must be communicated to software developers; a functional architecture is communicated to various stakeholders and users. Some ADLs that have been developed are: Acme (developed by CMU), AADL (standardized by the SAE), C2 (developed by UCI), SBC-ADL (developed by National Sun Yat-Sen University), Darwin (developed by Imperial College London), and Wright (developed by CMU).

The up-to-date list of currently existing architectural languages might be found at Up-to-date list of ADLs.

The ISO/IEC/IEEE 42010[1] document, Systems and software engineering—Architecture description, defines an architecture description language as "any form of expression for use in architecture descriptions" and specifies minimum requirements on ADLs.

The enterprise modelling and engineering community have also developed architecture description languages catered for at the enterprise level. Examples include ArchiMate (now a standard of The Open Group), DEMO, ABACUS (developed by the University of Technology, Sydney). These languages do not necessarily refer to software components, etc. Most of them, however, refer to an application architecture as the architecture that is communicated to the software engineers.

Most of the writing below refers primarily to the perspective from the software engineering community.

Introduction

A standard notation (ADL) for representing architectures helps promote mutual communication, the embodiment of early design decisions, and the creation of a transferable abstraction of a system. Architectures in the past were largely represented by box-and-line drawing annotated with such things as the nature of the component, properties, semantics of connections, and overall system behavior. ADLs result from a linguistic approach to the formal representation of architectures, and as such they address its shortcomings. Also important, sophisticated ADLs allow for early analysis and feasibility testing of architectural design decisions.

History

ADLs have been classified into three broad categories: box-and-line informal drawings, formal architecture description language, and UML-based notations. Box-and-line have been for a long time the most predominant means for describing SAs. While providing useful documentation, the level of informality limited the usefulness of the architecture description. A more rigorous way for describing SAs was required. Quoting Allen and Garlan (1997),[2] "while these [box-and-line] descriptions may provide useful documentation, the current level of informality limits their usefulness. Since it is generally imprecise what is meant by such architectural descriptions, it may be impossible to analyze an architecture for consistency or determine non-trivial properties of it. Moreover, there is no way to check that a system implementation is faithful to its architectural design." A similar conclusion is drawn in Perry and Wolf (1992),[3] which reports that: "Aside from providing clear and precise documentation, the primary purpose of specifications is to provide automated analysis of the documents and to expose various kinds of problems that would otherwise go undetected."

Since then, a thread of research on formal languages for SA description has been carried out. Tens of formal ADLs have been proposed, each characterized by different conceptual architectural elements, different syntax or semantics, focusing on a specific operational domain, or only suitable for different analysis techniques. For example, domain-specific ADLs have been presented to deal with embedded and real-time systems (such as AADL,[4] EAST-ADL,[5] and EADL[6]), control-loop applications (DiaSpec[7]), product line architectures (Koala[8]), and dynamic systems (Π-ADL[9])). Analysis-specific ADLs have been proposed to deal with availability, reliability, security, resource consumption, data quality and real-time performance analysis (AADL, behavioral analysis (Fractal[10])), and trustworthiness analysis (TADL[11]).

However, these efforts have not seen the desired adoption by industrial practice. Some reasons for this lack of industry adoption have been analyzed by Woods and Hilliard,[12] Pandey,[13] Clements,[14] and others: formal ADLs have been rarely integrated in the software life-cycle, they are seldom supported by mature tools, scarcely documented, focusing on very specific needs, and leaving no space for extensions enabling the addition of new features.

As a way to overcome some of those limitations, UML has been indicated as a possible successor of existing ADLs. Many proposals have been presented to use or extend the UML to more properly model software architectures.[15][16]

In fact, as highlighted in a recent study conducted with practitioners,[17] whilst practitioners are generally satisfied with the design capabilities provided by the languages they use, they are dissatisfied with the architectural language analysis features and their abilities to define extra-functional properties; architectural languages used in practice mostly originate from industrial development instead of from academic research; more formality and better usability are required of an architectural language.

Characteristics

There is a large variety in ADLs developed by either academic or industrial groups. Many languages were not intended to be an ADL, but they turn out to be suitable for representing and analyzing an architecture. In principle ADLs differ from requirements languages, because ADLs are rooted in the solution space, whereas requirements describe problem spaces. They differ from programming languages, because ADLs do not bind architectural abstractions to specific point solutions. Modeling languages represent behaviors, where ADLs focus on representation of components. However, there are domain specific modeling languages (DSMLs) that focus on representation of components.

Minimal requirements

The language must:

ADLs have in common:

ADLs differ in their ability to:

Positive elements of ADL

Negative elements of ADL

Common concepts of architecture

The ADL community generally agrees that Software Architecture is a set of components and the connections among them. But there are different kind of architectures like:

Object Connection Architecture

Interface Connection Architecture

Most ADLs implement an interface connection architecture.

Architecture vs. Design

What is the difference between architecture and design?

Architecture, in the context of software systems, is roughly divided into categories, primarily software architecture, network architecture, and systems architecture. Within each of these categories, there is a tangible but fuzzy distinction between architecture and design. To draw this distinction as universally and clearly as possible, it is best to consider design as a noun rather than as a verb, so that the comparison is between two nouns.

Design is the abstraction and specification of patterns and organs of functionality that have been or will be implemented. Architecture is a degree higher in both abstraction and granularity. Consequentially, architecture is also more topological in nature than design, in that it specifies where major components meet and how they relate to one another. Architecture focuses on the partitioning of major regions of functionality into high level components, where they will physically or virtually reside, what off-the-shelf components may be employed effectively, in general what interfaces each component will expose, what protocols will be employed between them, and what practices and high level patterns may best meet extensibility, maintainability, reliability, durability, scalability, and other non-functional objectives. Design is a detailing of these choices and a more concrete clarification of how functional requirements will be met through the delegation of pieces of that functionality to more granular components and how these smaller components will be organized within the larger ones.

Oftentimes, a portion of architecture is done during the conceptualization of an application, system, or network and may appear in the non-functional sections of requirement documentation. Canonically, design is not specified in requirements, but is rather driven by them.

The process of defining an architecture may involve heuristics, acquired by the architect or architectural team through experience within the domain. As with design, architecture often evolves through a series of iterations, and just as the wisdom of a high level design is often tested when low level design and implementation occurs, the wisdom of an architecture is tested during the specification of a high level design. In both cases, if the wisdom of the specification is called into question during detailing, another iteration of either architecture or design, as the case may be, may become necessary.

In summary, the primary differences between architecture and design are ones of granularity and abstraction, and (consequentially) chronology. (Architecture generally precedes design, although overlap and circular iteration is a common reality.)

Examples

Below the list gives the candidates for being the best ADL to date.

For an up-to-date list of currently existing architectural languages, please refer Up-to-date list of ADLs.

Approaches to architecture

Approaches to Architecture

See also

References

  1. ↑ http://www.iso-architecture.org/42010/docs/ISO-IEC-IEEE-latest-draft-42010.pdf
  2. ↑ Allen, R.; Garlan, D. (1997). "A formal basis for architectural connection". ACM Transactions on Software Engineering and Methodology. 6 (3): 213. doi:10.1145/258077.258078.
  3. ↑ Perry, D. E.; Wolf, A. L. (1992). "Foundations for the study of software architecture" (PDF). ACM SIGSOFT Software Engineering Notes. 17 (4): 40. doi:10.1145/141874.141884.
  4. ↑ "AADL".
  5. ↑ "AADL".
  6. ↑ Li, J.; Pilkington, N. T.; Xie, F.; Liu, Q. (2010). "Embedded architecture description language". Journal of Systems and Software. 83 (2): 235. doi:10.1016/j.jss.2009.09.043.
  7. ↑ "AADL".
  8. ↑ Van Ommering, R.; Van Der Linden, F.; Kramer, J.; Magee, J. (2000). "The Koala component model for consumer electronics software". Computer. 33 (3): 78. doi:10.1109/2.825699.
  9. ↑ Oquendo, Flavio (2004). "π-ADL". ACM SIGSOFT Software Engineering Notes. 29 (3): 1. doi:10.1145/986710.986728. ISSN 0163-5948.
  10. ↑ Bruneton, E.; Coupaye, T.; Leclercq, M.; Quéma, V.; Stefani, J. B. (2006). "The FRACTAL component model and its support in Java". Software: Practice and Experience. 36 (11–12): 1257. doi:10.1002/spe.767.
  11. ↑ "TADL".
  12. ↑ Woods, E.; Hilliard, R. (2005). "Architecture Description Languages in Practice Session Report". 5th Working IEEE/IFIP Conference on Software Architecture (WICSA'05). p. 243. doi:10.1109/WICSA.2005.15. ISBN 0-7695-2548-2.
  13. ↑ Pandey, R. K. (2010). "Architectural description languages (ADLs) vs UML". ACM SIGSOFT Software Engineering Notes. 35 (3): 1. doi:10.1145/1764810.1764828.
  14. ↑ Clements, P. C. (1996). "A survey of architecture description languages". Proceedings of the 8th International Workshop on Software Specification and Design. pp. 16–00. doi:10.1109/IWSSD.1996.501143. ISBN 0-8186-7361-3.
  15. ↑ "Garlan_TR".
  16. ↑ Pérez-Martínez, J. E.; Sierra-Alonso, A. (2004). "UML 1.4 versus UML 2.0 as Languages to Describe Software Architectures". Software Architecture. Lecture Notes in Computer Science. 3047. p. 88. doi:10.1007/978-3-540-24769-2_7. ISBN 978-3-540-22000-8.
  17. ↑ Malavolta, Ivano; Lago, Patricia; Muccini, Henry; Pelliccione, Patrizio; Tang, Antony (2013). "What Industry Needs from Architectural Languages: A Survey". IEEE Transactions on Software Engineering. 39 (6). doi:10.1109/TSE.2012.74.

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