Adaptability Evaluation at Software Architecture Level Pentti Tarvainen*
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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 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. -
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. -
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. -
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. -
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. -
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). -
Measuring Software Maintainability
Aalto University School of Science Degree Programme in Computer Science and Engineering Juha Viljanen Measuring software maintainability Master's Thesis Espoo, August 10, 2015 Supervisor: Professor Marjo Kauppinen, Aalto University Advisor: Robert Brotherus Lic.Phil. (Chem.) Timo Lehtinen D.Sc. (Tech) Aalto University School of Science ABSTRACT OF Degree Programme in Computer Science and Engineering MASTER'S THESIS Author: Juha Viljanen Title: Measuring software maintainability Date: August 10, 2015 Pages: 94 Major: Software Engineering Code: T241-3 Supervisor: Professor Marjo Kauppinen Advisor: Robert Brotherus Lic.Phil. (Chem.) Timo Lehtinen D.Sc. (Tech) Maintenance forms the major part of the software's development costs. Keep- ing the software's code base in a good shape, i.e. maintainable, speeds up and reduces the cost of making changes and makes them less risky. Refactoring and reengineering are practices to improve a software's maintainability. An essential part of keeping a software's maintainability at a desired level or systematically improving its maintainability is to measure the progress and to find the parts of code whose improvement would have the biggest affect on the overall maintainability. This can be done by using metrics. It is crucial to make sure the metrics are actively used by the company personnel. This can be done by providing useful deployment practices for the metrics. A literature review and a case study was conducted using a simplified version of the Design Science. The aim was to find a relevant set of metrics and useful ways of deploying them at the case company. In the case study, workshops were organized at the case company to fulfill the aim. -
Designing for Maintainability, Failure Resilience, and Evolvability in Ubiquitous Computing Software
Designing for Maintainability, Failure Resilience, and Evolvability in Ubiquitous Computing Software Shankar Ponnekanti, Brad Johanson, Emre Kıcıman, and Armando Fox Computer Science Department, Stanford University pshankar,bjohanso,emrek,fox ¡ cs.stanford.edu Abstract architecture adequate for human-scale latencies, and the naturally-limited scale of ubicomp makes The design constraints in ubiquitous computing (ubi- scalability a lesser concern. comp) differ from those traditionally emphasized by the systems community: evolvability, long-term maintain- These observations lead us to a simple (and therefore ability, and robustness to transient failures are essential, deployable and low-maintenance) system architecture while scalability and performance are lesser concerns, with sufficient performance and scalability that nicely due to the nature of ubicomp itself and the performance supports important programming abstractions required of today’s commodity equipment. We show how these for room-scale ubicomp. observations are reflected in the design of iROS, a ubi- This paper describes why ubicomp environments lead comp software framework in production use. In par- to potentially different design decisions, and how they ticular, we show that a centralized architecture directly were made in iROS (the Interactive Room Operating enables the ubicomp programming abstractions needed System), the software infrastructure for a ubicomp en- while providing the best solution for evolvability and vironment that has been in production use for £¥¤ years. maintainability/deployability, and that we can achieve Since ubicomp is a relatively immature field, com- the required robustness through a fast-recovery strategy, parisons of specific mechanisms within ubicomp pro- which allows a simple centralized implementation of gramming frameworks are hard to make.