Quality-Based Software Reuse
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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 -
Easychair Preprint Machine Learning Algorithm for Assessing Reusability
EasyChair Preprint № 4142 Machine Learning Algorithm for Assessing Reusability in Component Based Software Development Pooja Negi and Umesh Kumar Tiwari EasyChair preprints are intended for rapid dissemination of research results and are integrated with the rest of EasyChair. September 7, 2020 MACHINE LEARNING ALGORITHM FOR ASSESING REUSABILITY IN COMPONENT BASED SOFTWARE DEVELOPMENT 1Pooja Negi, 2Umesh Kumar Tiwari 1,2 Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun [email protected], 2 [email protected] Abstract- Software reusability has been present for several decades. Software reusability is defined as making new software from existing one. Objects that can be reused: design, code, software framework. We reviewed several approaches in this dissertation, i.e. object-oriented metrics, coupling factor, etc., by which the software's reusability increases. Therefore this thesis analysis on how to classify and reuse the program using those metrics and apply the algorithm of machine learning. In this thesis we test open source software and generate a ck metric of that source code then a machine learning algorithm will process the data using weka tool to give the result. We test coefficient of correlation, mean absolute error, root mean square error, relative absolute error and root relative square error less the program would be better from this we get 98.64 accuracy on online examination system software. Keywords- Reusability, Machine Learning Algorithm, Random Forest, ck-metric. 1. Introduction In today’s world every sector of service or industry is dependent on computer based application. Industry which develops and outsources the software service is major and growing rapidly in the world. -
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. -
Turning FAIR Data Into Reality
Final Report and Action Plan from the European Commission Expert Group on FAIR Data TURNING FAIR INTO REALITY Research and Innovation 2018 Turning FAIR into reality European Commission Directorate General for Research and Innovation Directorate B – Open Innovation and Open Science Unit B2 – Open Science Contact Athanasios Karalopoulos E-mail [email protected] [email protected] European Commission B-1049 Brussels Manuscript completed in November 2018. This document has been prepared for the European Commission however it reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. More information on the European Union is available on the internet (http://europa.eu). Luxembourg: Publications Office of the European Union, 2018 Print ISBN 978-92-79-96547-0 doi:10.2777/54599 KI-06-18-206-EN-C PDF ISBN 978-92-79-96546-3 doi: 10.2777/1524 KI-06-18-206-EN-N © European Union, 2018. Reuse is authorised provided the source is acknowledged. The reuse policy of European Commission documents is regulated by Decision 2011/833/EU (OJ L 330, 14.12.2011, p. 39). For any use or reproduction of photos or other material that is not under the EU copyright, permission must be sought directly from the copyright holders. The Expert Group operates in full autonomy and transparency. The views and recommendations in this report are those of the Expert Group members acting in their personal capacities and do not necessarily represent the opinions of the European Commission or any other body; nor do they commit the Commission to implement them. -
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 -
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. -
Software Maintainability and Reusability Using Cohesion Metrics
International Journal of Computer Trends and Technology (IJCTT) – Volume 54 Issue 2-December2017 Software Maintainability and Reusability using Cohesion Metrics Adekola, O.D#1, Idowu, S.A*2, Okolie, S.O#3, Joshua, J.V#4, Akinsanya, A.O*5, Eze, M.O#6, EbiesuwaSeun#7 #1Faculty, Computer Science Department, Babcock University,Ilishan-Remo, Ogun State, Nigeria *2Faculty, Computer Science Department, Babcock University,Ilishan-Remo, Ogun State, Nigeria #3Faculty, Computer Science Department, Babcock University,Ilishan-Remo, Ogun State, Nigeria #4Faculty, Computer Science Department, Babcock University,Ilishan-Remo, Ogun State, Nigeria *5Faculty, Computer Science Department, Babcock University,Ilishan-Remo, Ogun State, Nigeria #6Faculty, Computer Science Department, Babcock University,Ilishan-Remo, Ogun State, Nigeria #7Faculty, Computer Science Department, Babcock University,Ilishan-Remo, Ogun State, Nigeria Abstract - Among others, remarkable external software’s lifetime. Ahn et al., (2003) estimated that quality attributes of interest to software practitioners/ maintenance takes up to 80% of the total costof engineers include testability, maintainability and producing software applications. Expectation of reusability.Software engineers still combat achieving more reliable, quicker time-to-market and softwarecrisis and even chronic software affliction maintainable systems. A lot of research has gone into not because there is no standardized software the areas of software reuse and maintenance due to development process but because enough attention is the fact that these among other issues concern not given to seemingly insignificant but crucial intimately system developers/architects/engineers details of internal design attributes such as cohesion rather than end-users. Therehas been enormous and coupling especially in object-oriented systems. growth in software reuse research from the days of Consequently, the aftermath is increased structured programming concepts to object-oriented maintenance cost, effort and time which negatively methods and beyond (e.g. -
Software Reusability: Approaches and Challenges
International Journal of Research and Innovation in Applied Science (IJRIAS) |Volume VI, Issue V, May 2021|ISSN 2454-6194 Software Reusability: Approaches and Challenges Moko Anasuodei1, Ojekudo, Nathaniel Akpofure2 1Department of Computer Science and Informatics, Faculty of Science, Federal University Otuoke, Nigeria 2Department of Computer Science, Faculty of Natural and Applied Sciences, Ignatius Ajuru University of Education, Nigeria Abstract: Software reuse is used to aid the software phases. Software engineering has been more centered on development process which in recent times can improve the original development which gives an optimal software at a resulting quality and productivity of software development, by faster and less costly price, a design process based on assisting software engineers throughout various software systemic reusable is now recognized. engineering phases to enhance the quality of software, provide quick turnaround time for software development using few Software reuse reduces efforts and cost, because software people, tools, and methods, which creates a good software development costs can be extremely high, but they are quality by enhancing integration of the software system to shared, such that the cost of reuse can be extremely low. provide a competitive advantage. This paper examines the One major advantage of software reuse suggested by concept of software reuse, the approaches to be considered for keswani et al (2014) explains that there is a significant need software reuse, which is broadly shared into three categories: component-based software reuse, domain engineering and for the number of bugs to be reduced during software software product lines, architecture-based software reuse and development process, such that instead of developing an challenges that affect the software reuse development process. -
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. -
Is It Transferrable? Information's Reusability, Adaptability, And
Is it Transferrable? Information’s Reusability, Adaptability, and Transportability through SCORM Macarena Aspillaga, Ph.D. VSD Corporation Lane, Suite 200 Virginia Beach, VA 23462 Abstract The need for the sharable content object reference model (SCORM) to decrease the size of its shareable content object (SCO) is evident, especially since the introduction of Web 2.0 environments and new delivery systems. If SCORM is to be part of these emerging technologies, it needs to decrease its SCO size to the activity level to allow greater reusability, repurpose, adaptability, and portability of its learning objects. This will keep courses current at a lower cost, as well as enhance the transfer of knowledge; it will also help teach competencies, which will boost productivity. Greater reusability will help increase mental models. Emerging technologies will require that SCORM incorporate new standards for navigation, as new mobile learning environments communicate in shorter segments, requiring smaller SCOs and a different data model. Background Advanced Distributed Learning (ADL) developed a collection of specifications and standards known as the sharable content object reference model, or SCORM, as a way to standardize e-learning within the defense industry. The need arose because each government contractor had its own system and guidelines, resulting in many inconsistencies. As a result, ADL is now in charge of publishing, governing, and updating SCORM specifications and standards. There have been several versions since SCORM’s inception in 1997. The latest version, SCORM 1.3, launched in 2004, and includes the ability to specify sequencing of activities that use content objects, and resolve ambiguities. This latest version also allows using and sharing information, regarding success status for multiple learning objectives or competencies across content objects and across courses for the same learner within the same learning management system (LMS). -
Quality Attributes and Design Tactics
Quality Attribute Scenarios and Tactics Chapters 5-11 in Text Some material in these slides is adapted from Software Architecture in Practice, 3rd edition by Bass, Clements and Kazman. J. Scott Hawker/R. Kuehl p. 1 R I T Software Engineering Quality Attributes – Master List • Operational categories • Developmental categories – Availability – Modifiability – Interoperability – Variability – Reliability – Supportability – Usability – Testability – Performance – Maintainability – Deployability – Portability – Scalability – Localizability – Monitorability – Development distributability – Mobility – Buildability – Compatibility – Security – Safety J. Scott Hawker/R. Kuehl p. 2 R I T Software Engineering Achieving Quality Attributes – Design Tactics A system design is a collection of design decisions Some respond to quality attributes, some to achieving functionality A tactic is a design decision to achieve a QA response Tactics are a building block of architecture patterns – more primitive/granular, proven design technique Tactics to Control Stimulus Response Response J. Scott Hawker/R. Kuehl p. 3 R I T Software Engineering Categories of Design Decisions Allocation of responsibilities – system functions to modules Coordination model – module interaction Data model – operations, properties, organization Resource management – use of shared resources Architecture element mapping – logical to physical entities; i.e., threads, processes, processors Binding time decisions – variation of life cycle point of module “connection” Technology choices J. Scott Hawker/R. Kuehl p. 4 R I T Software Engineering Design Checklists Design considerations for each QA organized by design decision category For example, allocation of system responsibilities for performance: What responsibilities will involve heavy loading or time critical response? What are the processing requirements, will there be bottlenecks? How will threads of control be handled across process and processor boundaries? What are the responsibilities for managing shared resources? J. -
Application of User-Centered Design for a Student Case Management System
IT 11 057 Examensarbete 15 hp August 2011 Application of User-Centered Design for a Student Case Management System Vincent Kahl Institutionen för informationsteknologi Department of Information Technology ! Abstract Application of User-Centered Design for a Student Case Management System Vincent Kahl Teknisk- naturvetenskaplig fakultet UTH-enheten The student office and student counselors of Uppsala University’s IT Department need a new application for organizing and coordinating Besöksadress: student cases. The aim of this thesis is to define a specification for a Ångströmlaboratoriet Lägerhyddsvägen 1 new system. A user-centered design (UCD) approach is taken to Hus 4, Plan 0 ensure that the new application will increase productivity, is usable, and is accepted by the people that will work with it. The employed Postadress: UCD process is a custom adaption of the ISO 9241-210 standard’s Box 536 751 21 Uppsala UCD process proposal. Following the activity cycle of the ISO standard for user-centered design, this specification will understand and Telefon: specify the context of use, specify the user and organizational 018 – 471 30 03 requirements, and produce design solutions that are evaluated against Telefax: the requirements. 018 – 471 30 00 Hemsida: http://www.teknat.uu.se/student Handledare: Lars Oestreicher Ämnesgranskare: Lars Oestreicher Examinator: Anders Jansson IT 11 057 Tryckt av: Reprocentralen ITC ! Table of Contents 1! Introduction ........................................................................................................