Non-Functional Requirements Practices and Recommendations: a Brief Synopsis Non-Functional Requirements
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ASSESSING the MAINTAINABILITY of C++ SOURCE CODE by MARIUS SUNDBAKKEN a Thesis Submitted in Partial Fulfillment of the Requireme
ASSESSING THE MAINTAINABILITY OF C++ SOURCE CODE By MARIUS SUNDBAKKEN A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science WASHINGTON STATE UNIVERSITY School of Electrical Engineering and Computer Science DECEMBER 2001 To the Faculty of Washington State University: The members of the Committee appointed to examine the thesis of MARIUS SUNDBAKKEN find it satisfactory and recommend that it be accepted. Chair ii ASSESSING THE MAINTAINABILITY OF C++ SOURCE CODE Abstract by Marius Sundbakken, M.S. Washington State University December 2001 Chair: David Bakken Maintenance refers to the modifications made to software systems after their first release. It is not possible to develop a significant software system that does not need maintenance because change, and hence maintenance, is an inherent characteristic of software systems. It has been estimated that it costs 80% more to maintain software than to develop it. Clearly, maintenance is the major expense in the lifetime of a software product. Predicting the maintenance effort is therefore vital for cost-effective design and development. Automated techniques that can quantify the maintainability of object- oriented designs would be very useful. Models based on metrics for object-oriented source code are necessary to assess software quality and predict engineering effort. This thesis will look at C++, one of the most widely used object-oriented programming languages in academia and industry today. Metrics based models that assess the maintainability of the source code using object-oriented software metrics are developed. iii Table of Contents 1. Introduction .................................................................................................................1 1.1. Maintenance and Maintainability....................................................................... -
A System Model for Managing Requirement Traceability Matrices Via Statistical Artifact Change Analysis Benjamin J
A System Model for Managing Requirement Traceability Matrices via Statistical Artifact Change Analysis Benjamin J. Deaver and LiGuo Huang, Southern Methodist University, Dallas Introduction and Motivation Requirement Traceability Matrix – Gantt Open Source Software Project The Value of the Requirements Traceability Matrix The system Requirement Traceability Matrix (RTM) is primarily used for ensuring Our initial dataset for evaluation is taken from the Gantt Open Source PROCEDURE Kannenberg et al identify the underlying necessity of the Requirements Traceability Matrix and the underlying effect on that all requirements are fulfilled by the system artifact deliverables and the Software Project (http://www.ganttproject.biz). The initial trace data 1. Identify the taxonomy of change for a given domain (Systems Engineering, project management, process visibility, verification and validation, as well as project maintainability. Over time, the management of change to deliverables with respect to impact on other systems. In has been provided to us by Dr. Alexander Egyed at the Institute for SoS Engineering, Software Engineering). the systems engineering and system of systems (SoS) engineering landscapes, the Systems Engineering and Automation at Johannes Kepler University. Requirements Traceability Matrix provides significant insight in to the internal workings of the relationships between RTM is a tool that is useful at time of creation, but requires constant maintenance in Additional traces of requirements to code for subsequent Gantt versions 2. Identify and classify changes between static versions of the product. requirements and deliverable artifacts. a frequently changing landscape to maintain the original level of validity. The are being created using similar methods to the original collections 3. Generate Requirements Trace Matrixes for each static version of the product dynamic nature of systems and SoS engineering landscapes requires that a RTM be performed by Dr. -
A Quantitative Reliability, Maintainability and Supportability Approach for NASA's Second Generation Reusable Launch Vehicle
A Quantitative Reliability, Maintainability and Supportability Approach for NASA's Second Generation Reusable Launch Vehicle Fayssai M. Safie, Ph. D. Marshall Space Flight Center Huntsville, Alabama Tel: 256-544-5278 E-mail: Fayssal.Safie @ msfc.nasa.gov Charles Daniel, Ph.D. Marshall Space Flight Center Huntsville, Alabama Tel: 256-544-5278 E-mail: Charles.Daniel @msfc.nasa.gov Prince Kalia Raytheon ITSS Marshall Space Flight Center Huntsville, Alabama Tel: 256-544-6871 E-mail: Prince.Kalia @ msfc.nasa.gov ABSTRACT The United States National Aeronautics and Space Administration (NASA) is in the midst of a 10-year Second Generation Reusable Launch Vehicle (RLV) program to improve its space transportation capabilities for both cargo and crewed missions. The objectives of the program are to: significantly increase safety and reliability, reduce the cost of accessing low-earth orbit, attempt to leverage commercial launch capabilities, and provide a growth path for manned space exploration. The safety, reliability and life cycle cost of the next generation vehicles are major concerns, and NASA aims to achieve orders of magnitude improvement in these areas. To get these significant improvements, requires a rigorous process that addresses Reliability, Maintainability and Supportability (RMS) and safety through all the phases of the life cycle of the program. This paper discusses the RMS process being implemented for the Second Generation RLV program. 1.0 INTRODUCTION The 2nd Generation RLV program has in place quantitative Level-I RMS, and cost requirements [Ref 1] as shown in Table 1, a paradigm shift from the Space Shuttle program. This paradigm shift is generating a change in how space flight system design is approached. -
Software Quality Management
Software Quality Management 2004-2005 Marco Scotto ([email protected]) Software Quality Management Contents ¾Definitions ¾Quality of the software product ¾Special features of software ¾ Early software quality models •Boehm model • McCall model ¾ Standard ISO 9126 Software Quality Management 2 Definitions ¾ Software: intellectual product consisting of information stored on a storage device (ISO/DIS 9000: 2000) • Software may occur as concepts, transactions, procedures. One example of software is a computer program • Software is "intellectual creation comprising the programs, procedures, rules and any associated documentation pertaining to the operation of a data processing system" •A software product is the "complete set of computer programs, procedures and associated documentation and data designated for delivery to a user" [ISO 9000-3] • Software is independent of the medium on which it is recorded Software Quality Management 3 Quality of the software product ¾The product should, on the highest level… • Ensure the satisfaction of the user needs • Ensure its proper use ¾ Earlier: 1 developer, 1 user • The program should run and produce results similar to those expected ¾ Later: more developers, more users • Need to economical use of the storage devices • Understandability, portability • User-friendliness, learnability ¾ Nowadays: • Efficiency, reliability, no errors, able to restart without using data Software Quality Management 4 Special features of software (1/6) ¾ Why is software ”different”? • Does not really have “physical” existence -
Software Maintainability and Usability in Agile Environment
Software Maintainability and Usability in Agile Environment {tag} {/tag} International Journal of Computer Applications © 2013 by IJCA Journal Volume 68 - Number 4 Year of Publication: 2013 Authors: Monika Agarwal Rana Majumdar 10.5120/11569-6873 {bibtex}pxc3886873.bib{/bibtex} Abstract This research is based on software maintainability and usability in the agile environment. Maintainability of the system is the ability to undergo changes relatively easily. These changes can affect components, services, interfaces and functionality when adding or changing functions, errors, and respond to business needs. Usability is defined as the application that meets the requirements of users and consumers by providing an intuitive, easy to locate and globalize and provides good access for disabled users and leads to a good overall user experience. In the conventional method of the software development, there are many metrics to calculate the maintenance and use of software. This research is to determine whether the same measures apply to Agile, or there is a need to change some metrics used for the agile environment. The goal of software engineering is to develop good quality maintainable software in schedule and budget. Inflated software costing, delayed time frame, or not meeting quality standards express a failure. A survey suggests about 45% of software fails due to the lack of quality. It is therefore one of the most important aspects for the success of software. Refer ences 1 / 3 Software Maintainability and Usability in Agile Environment - P. Antonellis, D. Antoniou, Y. Kanellopoulos, C. Makris, E. Theodoridis, C. Tjortjis, and N. Tsirakis, "A data mining methodology for evaluating maintainability according to ISO/IEC-9126 software engineering – product quality standard," in Special Session on System Quality and Maintainability - SQM2007, 2007. -
Requirements Traceability Practices Guide
CDC UNIFIED PROCESS PRACTICE GUIDE REQUIREMENTS TRACEABILITY Document Purpose The purpose of this document is to provide guidance on the project management practice of Requirements Traceability and to describe the practice overview, requirements, best practices, activities, and key terms related to these requirements. In addition, templates relevant to this practice are provided at the end of this guide. Practice Overview Requirements traceability is an activity that is one part of an overarching requirements management practice and extends from requirements definition through to implementation. Requirements tracing is used to ensure that each step of the product’s development process is correct, conforms to the needs of prior and next steps, and conforms to the defined requirements. Requirements tracing is a technique that helps to ensure that the project delivers what stakeholders expect. If applied correctly requirements tracing is a practice that can greatly increase the quality and reliability of a project’s final product while minimizing costly rework resulting from requirements errors. Requirements tracing defines the ability to describe and follow the life of a requirement, in both a forward and backward direction, ideally through each step of the entire product’s life cycle. This is done by documenting and tracking traceability relationships between requirements. A traceability relationship is a dependency relationship between project and/or product elements. Similar to the way a dynamic project schedule may react to a change in one task, a change to a requirement element may also have a rippling effect on other elements. A well documented traceability relationship clearly defines requirement dependencies and allows for analysis of how changes in requirements affect other requirements and the project as a whole. -
Quality-Based Software Reuse
Quality-Based Software Reuse Julio Cesar Sampaio do Prado Leite1, Yijun Yu2, Lin Liu3, Eric S. K. Yu2, John Mylopoulos2 1Departmento de Informatica, Pontif´ıcia Universidade Catolica´ do Rio de Janeiro, RJ 22453-900, Brasil 2Department of Computer Science, University of Toronto, M5S 3E4 Canada 3School of Software, Tsinghua University, Beijing, 100084, China Abstract. Work in software reuse focuses on reusing artifacts. In this context, finding a reusable artifact is driven by a desired functionality. This paper proposes a change to this common view. We argue that it is possible and necessary to also look at reuse from a non-functional (quality) perspective. Combining ideas from reuse, from goal-oriented requirements, from aspect-oriented programming and quality management, we obtain a goal-driven process to enable the quality-based reusability. 1 Introduction Software reuse has been a lofty goal for Software Engineering (SE) research and prac- tice, as a means to reduced development costs1 and improved quality. The past decade has seen considerable progress in fulfilling this goal, both with respect to research ideas and industrial practices (e.g., [1–3]). Current reuse techniques focus on the reuse of software artifacts on the basis of de- sired functionality. However, non-functional properties (qualities) of a software system are also crucial. Systems fail because of inadequate performance, security, reliability, usability, or precision, to name a few. Quality concerns, therefore, should also be front and centre in methods for software reuse. For example, in designing for the NASA Mars Spirit spacecraft, one would not adopt a “cosine” function from an arbitrary mathemat- ical library. -
Adaptability Evaluation at Software Architecture Level Pentti Tarvainen*
The Open Software Engineering Journal, 2008, 2, 1-30 1 Open Access Adaptability Evaluation at Software Architecture Level Pentti Tarvainen* VTT Technical Research Centre of Finland, Kaitoväylä 1, P.O. Box 1100, FIN-90571 Oulu, Finland Abstract: Quality of software is one of the major issues in software intensive systems and it is important to analyze it as early as possible. An increasingly important quality attribute of complex software systems is adaptability. Software archi- tecture for adaptive software systems should be flexible enough to allow components to change their behaviors depending upon the environmental and stakeholders' changes and goals of the system. Evaluating adaptability at software architec- ture level to identify the weaknesses of the architecture and further to improve adaptability of the architecture are very important tasks for software architects today. Our contribution is an Adaptability Evaluation Method (AEM) that defines, before system implementation, how adaptability requirements can be negotiated and mapped to the architecture, how they can be represented in architectural models, and how the architecture can be evaluated and analyzed in order to validate whether or not the requirements are met. AEM fills the gap from requirements engineering to evaluation and provides an approach for adaptability evaluation at the software architecture level. In this paper AEM is described and validated with a real-world wireless environment control system. Furthermore, adaptability aspects, role of quality attributes, and diversity of adaptability definitions at software architecture level are discussed. Keywords: Adaptability, adaptation, adaptive software architecture, software quality, software quality attribute. INTRODUCTION understand the system [6]. Examples of design decisions are the decisions such as “we shall separate user interface from Today, quality of a software system plays an increasingly the rest of the application to make both user interface and important role in the domain of software engineering. -
Design Rules
Design rules Chapter 7 adapted by Dr. Kristina Lapin, Vilnius University design rules Designing for maximum usability – the goal of interaction design • Principles of usability – general understanding • Standards and guidelines – direction for design • Design patterns – capture and reuse design knowledge types of design rules • principles – abstract design rules – low authority – high generality Guideline s • standards – specific design rules – high authority – limited application increasinggenerality Standards • guidelines generality increasing – lower authority increasing authority increasing authority – more general application Principles to support usability Learnability the ease with which new users can begin effective interaction and achieve maximal performance Flexibility the multiplicity of ways the user and system exchange information Robustness the level of support provided the user in determining successful achievement and assessment of goal- directed behaviour •Predictability •Synthezability Learnability •Familiarity •Generalizability •Consistency Principles of learnability Predictability – determining effect of future actions based on past interaction history – operation visibility Predictability http://www.webbyawards.com/ 7 Principles of learnability Synthesizability – assessing the effect of past actions – immediate vs. eventual honesty Synthesizability 1. 2. 3. 9 Principles of learnability (ctd) Familiarity – how prior knowledge applies to new system – guessability; affordance Principles of learnability (ctd) Generalizability -
Non-Functional Requirements
® IBM Software Group Non-Functional Requirements Peter Eeles [email protected] IBM Software Group | Rational software Agenda Definitions Types of requirement Classifying requirements Capturing NFRs Summary IBM Software Group | Rational software Definitions Functional Requirement Functional requirements describe the behaviors (functions or services) of the system that support user goals, tasks or activities. [Malan] Non-Functional Requirement Non-functional requirements include constraints and qualities. [Malan] [System] qualities are properties or characteristics of the system that its stakeholders care about and hence will affect their degree of satisfaction with the system. [Malan] A constraint is a restriction on the degree of freedom we have in providing a solution. [Leffingwell] [Leffingwell] Managing Software Requirements – a Unified Approach, Dean Leffingwell and Don Widrig. [Malan] Defining Non-Functional Requirements, Ruth Malan and Dana Bredemeyer. IBM Software Group | Rational software Agenda Definitions Types of requirement Classifying requirements Capturing NFRs Summary IBM Software Group | Rational software Types of Requirement Use Cases Defines the behavior of the system from an external perspective System-Wide Requirements Legal and regulatory requirements, application standards, qualities that the system exhibits (such as usability, reliability, scalability, performance), operating system and environment requirements, compatibility requirements, and other design and implementation constraints Change -
Usability Basics for Software Developers Usability Engineering
focususability engineering Usability Basics for Software Developers Xavier Ferré and Natalia Juristo, Universidad Politécnica de Madrid Helmut Windl, Siemens AG, Germany Larry Constantine, Constantine & Lockwood n recent years, software system usability has made some interesting ad- vances, with more and more organizations starting to take usability seri- ously.1 Unfortunately, the average developer has not adopted these new I concepts, so the usability level of software products has not improved. Contrary to what some might think, us- Usability engineering defines the target us- This tutorial ability is not just the appearance of the user ability level in advance and ensures that the examines the interface (UI). Usability relates to how the software developed reaches that level. The system interacts with the user, and it includes term was coined to reflect the engineering ap- relationship five basic attributes: learnability, efficiency, proach some usability specialists take.3 It is between usability user retention over time, error rate, and sat- “a process through which usability character- and the user isfaction. Here, we present the general us- istics are specified, quantitatively and early in interface and ability process for building a system with the the development process, and measured desired level of usability. This process, which throughout the process.”4 Usability is an is- discusses how most usability practitioners apply with slight sue we can approach from multiple view- the usability variation, is structured around a design- points, which is why many different disci- process follows a evaluate-redesign cycle. Practitioners initiate plines, such as psychology, computer science, design-evaluate- the process by analyzing the targeted users and sociology, are trying to tackle it. -
USABILITY of PROCESSES in ENGINEERING DESIGN Becerril, Lucia; Stahlmann, Jan-Timo; Beck, Jesco; Lindemann, Udo Technical University of Munich, Germany
21ST INTERNATIONAL CONFERENCE ON ENGINEERING DESIGN, ICED17 21-25 AUGUST 2017, THE UNIVERSITY OF BRITISH COLUMBIA, VANCOUVER, CANADA USABILITY OF PROCESSES IN ENGINEERING DESIGN Becerril, Lucia; Stahlmann, Jan-Timo; Beck, Jesco; Lindemann, Udo Technical University of Munich, Germany Abstract Processes in Engineering Design are generally optimized towards efficiency, quality, costs, risks, etc., however an analysis that includes requirements from the process users' view is missing. Within the last years, the concept of usability has being introduced to examine business processes. This is a promising approach for Engineering Design, by involving process "users" (designers, engineers, software developers, project managers, etc.) in the process planning phase, several issues such as consistency flaws or counter-intuitive information flow can be identified beforehand. This paper aims to explore the transferability of usability concepts and evaluation methods to processes in the field of Engineering Design. The goal of this paper is to set a basis for further studies with regard on how to plan and design processes that interact efficiently, effectively and satisfactorily with the people involved. For this purpose ten process usability attributes are consolidated from the overlap between usability attributes (of products and systems) and process system properties. Moreover, five usability evaluation methods are examined on their applicability for evaluating design processes. Keywords: Design management, Design process, User centred design Contact: Lucia Becerril Technical University of Munich Chair of Product Development Germany [email protected] Please cite this paper as: Surnames, Initials: Title of paper. In: Proceedings of the 21st International Conference on Engineering Design (ICED17), Vol. 2: Design Processes | Design Organisation and Management, Vancouver, Canada, 21.-25.08.2017.