Software Architecture Methodology in Agile Environments

Total Page:16

File Type:pdf, Size:1020Kb

Software Architecture Methodology in Agile Environments nolog ech y & T S n o f io t t w a Mekni et al. J Inform Tech Softw Eng 2017, 7:1 a m r r e Journal of o E f n DOI: 10.4172/2165-7866.1000195 n I g f i n o e l ISSN: 2165-7866 e a r n i r n u g o J Information Technology & Software Engineering Research Article Open Access Software Architecture Methodology in Agile Environments Mehdi Mekni*, Mounika G, Sandeep C and Gayathri B Department of Computer Science and Information Technology, St. Cloud State University, St. Cloud, Minnesota, USA Abstract Lengthy requirements, design, integration, test, and assurance cycles delay software delivery, resulting in late discovery of mismatched assumptions and system level rework. In response, development methods that enable frequent iterations with small increments of functionality, such as agile practices, have become popular. However, since the business goals and context continuously evolve, the software architecture must also change. Currently, a clear specification in software architecture activities and processes in agile environments does not exist. In this paper, we provide an overview on agile development methodology along with the software architecture related issues in agile environments. Our main contribution is a novel methodology to guide and assist practitioners adopting software architectural design in agile environments. Keywords: Agile methodology; Software development life-cycle; Agile Development Methods Software architectural design The goal of agile methods is to allow an organization to be agile, Introduction but what does it mean to be Agile. Agile means being able to “Deliver quickly”; “Change quickly and often” [8]. While agile techniques vary Software development projects seeking rapid, sustainable delivery in practices and emphasis, they follow the same principles behind the are combining agile and architecture practices to manage competing agile manifesto [9]: goals of speed in the short term and stability over the long term [1- 3]. A software development lifecycle is essentially a series of steps, or • Working software is delivered frequently (weeks rather than phases including requirement specification; software design; software months). construction; software verification and validation; and software • Working software is the principal measure of progress. deployment. These phases provide a model for the development and management of software [4]. • Customer satisfaction by rapid, continuous delivery of useful software. Software architectural design is the process of applying various techniques and principles for the purpose of defining a module, a • Late changes in software requirements are accepted. process, or a system in sufficient detail to permit its physical coding. • Close daily cooperation between business people and software The conventional approach to the software design process focuses on developers. partitioning a problem and its solution into detailed pieces up front before proceeding to the construction phase. These up front software • Face-to-face conversation is the best form of communication. architecture efforts are critical and leave no room to accommodate • Projects are built around motivated individuals who should be changing requirements later in the development cycle. Some of the trusted. issues faced by organizations involved in up front software design efforts are [5,6]: • Continuous attention to technical excellence and good design. • Requirements evolve over time due to changes in customer and Agile development methods have been designed to solve the user needs, technological advancement and schedule constraints. problem of delivering high quality software on time under constantly and rapidly changing requirements and business environments. • Changes to requirements systematically involves modifying the Agile methods have a proven track record in the software and IT software design, and in turn, the code. industries. The main benefit of agile development software is allowing • Accommodating changing software design is an expensive for an adaptive process in which the team and development react to critical activity in the face of rapidly changing requirements. and handle changes in requirements and specifications, even late in the development process. Figure 1 illustrates an abstract view of the • Clear specification of activities in the agile software design evolutionary map of main agile development methods. process is missing and there is a lack of a set of techniques for practitioners to choose from [7]. Through the use of multiple working iterations, the implementation There is an obvious need for a software architectural design approach in agile environments. To the best of our knowledge, no *Corresponding author: Mehdi Mekni, Department of Computer Science and well-established software design methodology has been proposed Information Technology, St. Cloud State University, St. Cloud, Minnesota, USA, in any literature. These are issues of software architecture while fully Tel: 612-666-8767; E-mail: [email protected] supporting the fundamentals of agile software development methods. Received January 12, 2017; Accepted January 17, 2017; Published January 23, The rest of the paper is organized as follows: Section 2 provides 2017 an overview of existing agile methods. Section 3 details the software Citation: Mekni M, Mounika G, Sandeep C, Gayathri B (2017) Software architecture design phase as a key part of the software development Architecture Methodology in Agile Environments. J Inform Tech Softw Eng 7: 195. doi: 10.4172/2165-7866.1000195 life-cycle. Section 4 presents the proposed software architectural design methodology in agile environments. Section 5 discusses the outcomes Copyright: © 2017 Mekni M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted and limits of the proposed methodology. Finally, Section 6 concludes use, distribution, and reproduction in any medium, provided the original author and and presents the future perspectives of this work. source are credited. J Inform Tech Softw Eng, an open access journal Volume 7 • Issue 1 • 1000195 ISSN: 2165-7866 Citation: Mekni M, Mounika G, Sandeep C, Gayathri B (2017) Software Architecture Methodology in Agile Environments. J Inform Tech Softw Eng 7: 195. doi: 10.4172/2165-7866.1000195 Page 2 of 8 Figure 1: Evolutionary map of agile development methods (adapted from [18]). of agile methods allows the creation of quality, functional software with building and design phases each defined with entry and exit criteria, small teams and limited resources. The proponents of the traditional building a features list, and then planning by feature followed by iterative development methods criticize the agile methods for the lightweight design by feature and build by feature steps [11]. In the first phase, the documentation and inability to cooperate within the traditional overall domain model is developed by domain experts and developers. workflow. The main limitations of agile development are: agile works The overall model consists of class diagrams with classes, relationships, well for small to medium sized teams; also agile development methods methods, and attributes. The methods express functionality and are the do not scale, i.e., due to the number of iterations involved it would be base for building a feature list (Figure 3). A feature in FDD is a client difficult to understand the current project status; in addition, an agile valued function. The feature lists is prioritized by the team. The feature approach requires highly motivated and skilled individuals which lists are reviewed by domain members [12]. FDD proposes a weekly 30 would not always be available; lastly, not enough written documentation minute meeting in which the status of the features are discussed and a in agile methods leads to information loss when the code is actually report about the meeting is written. implemented. However, with proper implementation agile methods can complement and benefit traditional development methods. Dynamic systems development method (DSDM) Furthermore, it should be noted that traditional development methods It was developed in the U.K. in the mid-1990s [13]. It is an in non-iterative fashions are susceptible to late stage design breakage, outgrowth of, and extension to, Rapid Application Development (RAD) while agile methodologies effectively solve this problem by frequent practices [14]. The first two phases of DSDM are the feasibility study incremental builds which encourage changing requirements. We and the business study. During these two phases the base requirements will now describe some common agile methods from a requirements are elicited (Figure 4). DSDM has nine principles include active user engineering perspective. involvement, frequent delivery, team decision making, integrated Agile modeling (AM) testing throughout the project life cycle, and reversible changes in development. It is a new approach for performing modeling activities [10]. It gives developers a guideline of how to build models using an agile Extreme programming (XP) philosophy as its backbone that resolve design problems and support It is based on values of simplicity, communication, feedback, and documentation purposes but not ’over build’ these models (Figure 2). The courage [15]. XP aims at enabling successful software development aim is to keep the amount of models and documentation as low as possible. despite vague or constantly changing software
Recommended publications
  • Budgen, Software Design Methods
    David Budgen The Loyal Opposition Software Design Methods: Life Belt or Leg Iron? o software design methods have a correctly means “study of method.”) To address, but future? In introducing the January- not necessarily answer, this question, I’ll first consider D February 1998 issue of IEEE Software,Al what designing involves in a wider context, then com- Davis spoke of the hazards implicit in pare this with what we do, and finally consider what “method abuse,”manifested by a desire this might imply for the future. to “play safe.”(If things go well, you can take the credit, but if they go wrong, the organization’s choice of method can take the blame.) As Davis argues, such a THE DESIGN PROCESS policy will almost certainly lead to our becoming builders of what he terms “cookie-cutter, low-risk, low- Developing solutions to problems is a distinguish- payoff, mediocre systems.” ing human activity that occurs in many spheres of life. The issue I’ll explore in this column is slightly dif- So, although the properties of software-based systems ferent, although it’s also concerned with the problems offer some specific problems to the designer (such as that the use of design methods can present. It can be software’s invisibility and its mix of static and dynamic expressed as a question: Will the adoption of a design properties), as individual design characteristics, these method help the software development process (the properties are by no means unique. Indeed, while “life belt” role), or is there significant risk that its use largely ignored by software engineers, the study of the will lead to suboptimum solutions (the “leg iron”role)? nature of design activities has long been established Robert L.
    [Show full text]
  • (Perry & Wolf 92) Software Architecture (Garlan & Shaw
    ICS 221, Winter 2001 Software Architecture Software Architecture (Perry & Wolf 92) “Architecture is concerned with the selection of architectural elements, their interactions, and the Software Architecture constraints on those elements and their interactions necessary to provide a framework in which to satisfy the requirements and serve as a basis for the design.” David S. Rosenblum ICS 221 “Design is concerned with the modularization and detailed interfaces of the design elements, their Winter 2001 algorithms and procedures, and the data types needed to support the architecture and to satisfy the requirements.” Software Architecture Software Architecture (Garlan & Shaw 93) (Shaw & Garlan 96) “Software architecture is a level of design that goes “The architecture of a software system defines beyond the algorithms and data structures of the that system in terms of computational computation; designing and specifying the overall components and interactions among those system structure emerges as a new kind of problem. Structural issues include gross organization and components. … In addition to specifying the global control structure; protocols for communication, structure and topology of the system, the synchronization, and data access; assignment of architecture shows the correspondence functionality to design elements; physical between the requirements and elements of distribution; composition of design elements; scaling the constructed system, thereby providing and performance; and selection among design some rationale for the design decisions.” alternatives.” Analogies with Differences Between Civil and Civil Architecture Software Architecture Civil Engineering and Civil Architecture “Software systems are like cathedrals—first we are concerned with the engineering and design of build them and then we pray.” civic structures (roads, buildings, bridges, etc.) — Sam Redwine ! Multiple views ! Civil: Artist renderings, elevations, floor plans, blueprints ! Physical vs.
    [Show full text]
  • Software Design Document 1
    SOFTWARE DESIGN DOCUMENT 1. Introduction The following subsections of the Software Design Document (SDD) should provide an overview of the entire SDD. 1.1 Purpose This subsection should explain the purpose of the SDD and specify the intended audience for it. The SDD described the software structure, software components, interfaces and data necessary for the implementation phase. Each requirement in the SRS should be traceable to one or more design entities in the SDD. 1.2 Scope This subsection should relate the design document to the SRS and to the software to be developed. 1.3 Definitions, Acronyms and Abbreviations This subsection should provide the definitions of all terms, acronyms and abbreviations that are used in the SDD. 2. References This subsection should provide a complete list of all documents referenced in the SDD. It should identify these references by title, report number, date and publishing organization. It should also specify the sources from which these references are available. 3. Attributes of Design Entities There are some attributes common to all entities, regardless of the approach utilized, whether procedural or object-oriented. These are used in subsections 4 and later. 3.1 Identification The name of the entity should be specified. Two entities should not have the same name. 3.2 Type The type attribute should describe the nature of the entity. It may simply name the kind of entity, such as subprogram, module, procedure, process, data item, object etc. Alternatively, design entities can be grouped, in order to assist in locating an entity dealing with a particular type of information.
    [Show full text]
  • Software Design Document (SDD) Template
    Software Design Document (SDD) Template Software design is a process by which the software requirements are translated into a representation of software components, interfaces, and data necessary for the implementation phase. The SDD shows how the software system will be structured to satisfy the requirements. It is the primary reference for code development and, therefore, it must contain all the information required by a programmer to write code. The SDD is performed in two stages. The first is a preliminary design in which the overall system architecture and data architecture is defined. In the second stage, i.e. the detailed design stage, more detailed data structures are defined and algorithms are developed for the defined architecture. This template is an annotated outline for a software design document adapted from the IEEE Recommended Practice for Software Design Descriptions. The IEEE Recommended Practice for Software Design Descriptions have been reduced in order to simplify this assignment while still retaining the main components and providing a general idea of a project definition report. For your own information, please refer to IEEE Std 1016­1998 1 for the full IEEE Recommended Practice for Software Design Descriptions. 1 http://www.cs.concordia.ca/~ormandj/comp354/2003/Project/ieee­SDD.pdf Downloaded from http://www.tidyforms.com (Team Name) (Project Title) Software Design Document Name (s): Lab Section: Workstation: Date: (mm/dd/yyyy) Downloaded from http://www.tidyforms.com Software Design Document TABLE OF CONTENTS 1. INTRODUCTION 2 1.1 Purpose 2 1.2 Scope 2 1.3 Overview 2 1.4 Reference Material 2 1.5 Definitions and Acronyms 2 2.
    [Show full text]
  • Software Reliability and Dependability: a Roadmap Bev Littlewood & Lorenzo Strigini
    Software Reliability and Dependability: a Roadmap Bev Littlewood & Lorenzo Strigini Key Research Pointers Shifting the focus from software reliability to user-centred measures of dependability in complete software-based systems. Influencing design practice to facilitate dependability assessment. Propagating awareness of dependability issues and the use of existing, useful methods. Injecting some rigour in the use of process-related evidence for dependability assessment. Better understanding issues of diversity and variation as drivers of dependability. The Authors Bev Littlewood is founder-Director of the Centre for Software Reliability, and Professor of Software Engineering at City University, London. Prof Littlewood has worked for many years on problems associated with the modelling and evaluation of the dependability of software-based systems; he has published many papers in international journals and conference proceedings and has edited several books. Much of this work has been carried out in collaborative projects, including the successful EC-funded projects SHIP, PDCS, PDCS2, DeVa. He has been employed as a consultant to industrial companies in France, Germany, Italy, the USA and the UK. He is a member of the UK Nuclear Safety Advisory Committee, of IFIPWorking Group 10.4 on Dependable Computing and Fault Tolerance, and of the BCS Safety-Critical Systems Task Force. He is on the editorial boards of several international scientific journals. 175 Lorenzo Strigini is Professor of Systems Engineering in the Centre for Software Reliability at City University, London, which he joined in 1995. In 1985-1995 he was a researcher with the Institute for Information Processing of the National Research Council of Italy (IEI-CNR), Pisa, Italy, and spent several periods as a research visitor with the Computer Science Department at the University of California, Los Angeles, and the Bell Communication Research laboratories in Morristown, New Jersey.
    [Show full text]
  • Design by Contract: the Lessons of Ariane
    . Editor: Bertrand Meyer, EiffelSoft, 270 Storke Rd., Ste. 7, Goleta, CA 93117; voice (805) 685-6869; [email protected] several hours (at least in earlier versions of Ariane), it was better to let the computa- tion proceed than to stop it and then have Design by to restart it if liftoff was delayed. So the SRI computation continues for 50 seconds after the start of flight mode—well into the flight period. After takeoff, of course, this com- Contract: putation is useless. In the Ariane 5 flight, Object Technology however, it caused an exception, which was not caught and—boom. The exception was due to a floating- point error during a conversion from a 64- The Lessons bit floating-point value, representing the flight’s “horizontal bias,” to a 16-bit signed integer: In other words, the value that was converted was greater than what of Ariane can be represented as a 16-bit signed inte- ger. There was no explicit exception han- dler to catch the exception, so it followed the usual fate of uncaught exceptions and crashed the entire software, hence the onboard computers, hence the mission. This is the kind of trivial error that we Jean-Marc Jézéquel, IRISA/CNRS are all familiar with (raise your hand if you Bertrand Meyer, EiffelSoft have never done anything of this sort), although fortunately the consequences are usually less expensive. How in the world everal contributions to this made up of respected experts from major department have emphasized the European countries, which produced a How in the world could importance of design by contract report in hardly more than a month.
    [Show full text]
  • Improving Software Reliability Using Software Engineering Approach- a Review
    International Journal of Computer Applications (0975 – 8887) Volume 10– No.5, November 2010 Improving Software Reliability using Software Engineering Approach- A Review Aasia Quyoum Mehraj – Ud - Din Dar S. M. K. Quadri Research Scholar Director, IT & SS Director Computer Sciences University of Kashmir (India) University of Kashmir (India) University of Kashmir (India) ABSTRACT Randomness means that the failure can‟t be predicted accurately. Software Reliability is an important facet of software quality. The randomness of the failure occurrence is necessary for Software reliability is the probability of the failure free operation reliability modeling. In [MIO87], it is suggested that reliability of a computer program for a specified period of time in a specified modeling should be applied to systems larger than 5000 LOC. environment. Software Reliability is dynamic and stochastic. It differs from the hardware reliability in that it reflects design 3. RELIABILITY PROCESS perfection, rather than manufacturing perfection. This article The reliability process in generic terms is a model of the provides an overview of Software Reliability which can be reliability-oriented aspects of software development, operations categorized into: modeling, measurement and improvement, and and maintenance. The set of life cycle activities and artifacts, then examines different modeling technique and metrics for together with their attributes and interrelationships that are software reliability, however, there is no single model that is related to reliability comprise the reliability process. The artifacts universal to all the situations. The article will also provide an of the software life cycle include documents, reports, manuals, overview of improving software reliability and then provides plans, code configuration data and test data.
    [Show full text]
  • Theoretically Comparing Design Thinking to Design Methods for Large- Scale Infrastructure Systems
    The Fifth International Conference on Design Creativity (ICDC2018) Bath, UK, January 31st – February 2nd 2018 THEORETICALLY COMPARING DESIGN THINKING TO DESIGN METHODS FOR LARGE- SCALE INFRASTRUCTURE SYSTEMS M.A. Guerra1 and T. Shealy1 1Civil Engineering, Virginia Tech, Blacksburg, USA Abstract: Design of new and re-design of existing infrastructure systems will require creative ways of thinking in order to meet increasingly high demand for services. Both the theory and practice of design thinking helps to exploit opposing ideas for creativity, and also provides an approach to balance stakeholder needs, technical feasibility, and resource constraints. This study compares the intent and function of five current design strategies for infrastructure with the theory and practice of design thinking. The evidence suggests the function and purpose of the later phases of design thinking, prototyping and testing, are missing from current design strategies for infrastructure. This is a critical oversight in design because designers gain much needed information about the performance of the system amid user behaviour. Those who design infrastructure need to explore new ways to incorporate feedback mechanisms gained from prototyping and testing. The use of physical prototypes for infrastructure may not be feasible due to scale and complexity. Future research should explore the use of prototyping and testing, in particular, how virtual prototypes could substitute the experience of real world installments and how this influences design cognition among designers and stakeholders. Keywords: Design thinking, design of infrastructure systems 1. Introduction Infrastructure systems account for the vast majority of energy use and associated carbon emissions in the United States (US EPA, 2014).
    [Show full text]
  • Combining Design by Contract and Inference Rules of Programming Logic Towards Software Reliability
    Combining Design by Contract and Inference Rules of Programming Logic towards Software Reliability Nuha Aldausari*, Cui Zhang and Jun Dai Department of Computer Science, California State University, Sacramento, CA 95819, U.S.A. Keywords: Software Security, Software Reliability, Program Specifications, Error Detection, Design by Contract, Programming Logic. Abstract: Detecting errors in software products is very important to software reliability because many security vulnerabilities are caused by the defects in software. Design by contract (DBC) is an effective methodology that dynamically checks whether a program meets its specifications, which are also called design contracts, and whether there are errors in the program. The contracts for object-oriented programs are defined in terms of preconditions and postconditions for methods as well as invariants for classes. However, if there is an error in a large piece of code that has a design contract, it is still difficult to identify the exact location of that error. To address this issue, a tool named Subcontractor has been developed. Subcontractor is implemented in Eclipse environment using libraries such as Java Development Tools (JDT), Plugin Development Environment (PDE), and JFace. The tool Subcontractor is built upon an open source DBC tool, OpenJML Runtime Assertion Checking (RAC), which is a tool that verifies specifications at runtime. Subcontractor combines this DBC tool with inference rules of program logic for if-statements and loop- statements to automatically generate subcontracts for programs. When the programs, with subcontracts automatically generated and inserted by Subcontractor, are verified using OpenJML Runtime Assertion Checking (RAC), identification of errors in the code can be facilitated. 1 INTRODUCTION (University of Oldenburg, 2001), and Contracts for Java (C4J) (Bergström, 2012).
    [Show full text]
  • Designing Software Architecture to Support Continuous Delivery and Devops: a Systematic Literature Review
    Designing Software Architecture to Support Continuous Delivery and DevOps: A Systematic Literature Review Robin Bolscher and Maya Daneva University of Twente, Drienerlolaan 5, Enschede, The Netherlands [email protected], [email protected] Keywords: Software Architecture, Continuous Delivery, Continuous Integration, DevOps, Deployability, Systematic Literature Review, Micro-services. Abstract: This paper presents a systematic literature review of software architecture approaches that support the implementation of Continuous Delivery (CD) and DevOps. Its goal is to provide an understanding of the state- of-the-art on the topic, which is informative for both researchers and practitioners. We found 17 characteristics of a software architecture that are beneficial for CD and DevOps adoption and identified ten potential software architecture obstacles in adopting CD and DevOps in the case of an existing software system. Moreover, our review indicated that micro-services are a dominant architectural style in this context. Our literature review has some implications: for researchers, it provides a map of the recent research efforts on software architecture in the CD and DevOps domain. For practitioners, it describes a set of software architecture principles that possibly can guide the process of creating or adapting software systems to fit in the CD and DevOps context. 1 INTRODUCTION designing new software architectures tailored for CD and DevOps practices. The practice of releasing software early and often has For clarity, before elaborating on the subject of been increasingly more adopted by software this SLR, we present the definitions of the concepts organizations (Fox et al., 2014) in order to stay that we will address: Software architecture of a competitive in the software market.
    [Show full text]
  • 3. Design by Contract
    3. Design by Contract Oscar Nierstrasz Design by Contract Bertrand Meyer, Touch of Class — Learning to Program Well with Objects and Contracts, Springer, 2009. 2 Bertrand Meyer is a French computer scientist who was a Professor at ETH Zürich (successor of Niklaus Wirth) from 2001-2015. He is best known as the inventor of “Design by Contract”, and as the designer of the Eiffel programming language, which provides built-in for DbC. DbC was first described in a technical report by Meyer in 1986: https://en.wikipedia.org/wiki/Design_by_contract Who’s to blame? The components fit but the system does not work. Who’s to blame? The component developer or the system integrator? 3 DbC makes clear the “contract” between a supplier (an object or “component”) and its client. When something goes wrong, the contract states whose fault it is. This simplifies both design and debugging. Why DbC? > Design by Contract —documents assumptions (what do objects expect?) —simplifies code (no special actions for failure) —aids debugging (identifies who’s to blame) 4 As we shall see, DbC improves your OO design in several ways. First, contracts make explicit the assumptions under which an object (supplier) will work correctly. Second, they simplify your code, since no special action is required when things go wrong — the exception handling framework provides the necessary tools. Third, contracts help in debugging since errors are caught earlier, when contracts are violated, not when your program crashes because of an invalid state, and it is clear where to lay the blame for the violation (i.e., in the object or its client).
    [Show full text]
  • Software Engineering (SE) 1
    Software Engineering (SE) 1 SE 352 | OBJECT-ORIENTED ENTERPRISE APPLICATION DEVELOPMENT SOFTWARE ENGINEERING | 4 quarter hours (Undergraduate) (SE) This course focuses on applying object-oriented techniques in the design and development of software systems for enterprise applications. Topics SE 325 | INTRODUCTION TO SOFTWARE ENGINEERING | 4 quarter hours include component architecture, such as Java Beans and Enterprise (Undergraduate) Java Beans, GUI components, such as Swing, database connectivity and This course introduces students to the activities performed at each object repositories, server application integration using technologies stage of the development process so that they can understand the full such as servlets, Java Server Pages, JDBC and RMI, security and lifecycle context of specific tasks such as coding and testing. Topics will internationalization. PREREQUISITE(S): CSC 301. include software development processes, domain modeling, requirements CSC 301 is a prerequisite for this class. elicitation and specification, architectural design and analysis, product SE 356 | SOFTWARE DEVELOPMENT FOR MOBILE AND WIRELESS and process level metrics, configuration management, quality assurance SYSTEMS | 4 quarter hours activities including user acceptance testing and unit testing, project (Undergraduate) management skills such as risk analysis, effort estimation, project This course will focus on the unique aspects of developing software release planning, and software engineering ethics. applications for mobile and wireless systems, such as personal digital CSC 301 or CSC 393 is a prerequisite for this class. assistant (PDA) devices and mobile phones. Topics will include user SE 330 | OBJECT ORIENTED MODELING | 4 quarter hours interface design for small screens with restricted input modalities, data (Undergraduate) synchronization for mobile databases as well as wireless programming Object-oriented modeling techniques for analysis and design.
    [Show full text]