Guidelines for Planning and Development of Software for Buildings and Building Systems Priya D
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Introduction Development Lifecycle Model
DeveIopment of a Comprehensive Software Engineering Environment Thomas C. Hartrum Gary B. Lamont Department of Electrical and Computer Engineering Department of Electrical and Computer Engineering School of Engineering School of Engineering Air Force Institute of Technology Air Force Institute of Technology Wright-Patterson AFB, Dayton, Ohio, 45433 Wright-Patterson AFB, Dayton, Ohio, 45433 Abstract The concept of an integrated software development environment The generation of a set of tools for the software lifecycle is a recur- can be realized in two distinct levels. The first level deals with the ring theme in the software engineering literature. The development of access and usage mechanisms for the interactive tools, while the sec- such tools and their integration into a software development environ- ond level concerns the preservation of software development data and ment is a difficult task at best because of the magnitude (number of the relationships between the products of the different software life variables) and the complexity (combinatorics) of the software lifecycle cycle stages. The first level requires that all of the component tools process. An initial development of a global approach was initiated at be resident under one operating system and be accessible through a AFIT in 1982 as the Software Development Workbench (SDW). Also common user interface. The second level dictates the need to store de- other restricted environments have evolved emphasizing Ada and di5 velopment data (requirements specifications, designs, code, test plans tributed processing. Continuing efforts focus on tool development, and procedures, manuals, etc.) in an integrated data base that pre- tool integration, human interfacing (graphics; SADT, DFD, structure serves the relationships between the products of the different life cy- charts, ...), data dictionaries, and testing algorithms. -
Best Practices for Systems Integration
Best Practices for Systems Integration November 2011 Presented by Pete Houser Manager for Engineering & Product Excellence Northrop Grumman Corporation Copyright © 2011 Northrop Grumman Systems Corporation. All rights reserved. Log #DSD-11-78 Systems Integration Definition • Systems Integration (SI) is one aspect of the Systems Engineering, Integration, and Test (SEIT) process. SI must be integrated within the overall SEIT structure. • Systems Integration is the process of: – Assembling the constituent parts of a system in a logical, cost-effective way, comprehensively checking system execution (all nominal & exceptional paths), and including a full functional check-out. • Systems Test is the process of: – Verifying that the system meets its requirements, and – Validating that the system performs in accordance with the customer/user expectations • Across Dod Programs, systems integration experiences have been erratic (at best). In many cases: – Programs do not define dedicated Integration Engineers. – Immature system is passed to the Test organization for concurrent Integration and Test. – Program budget is exceeded because Integration was not separately estimated. Copyright © 2011 Northrop Grumman Systems Corporation. All rights reserved. Log #DSD-11-78 Systems Integration Issues • When executed as a distinct process, Systems Integration has historically followed the “big bang” model shown below. – All of the components arrive more-or-less simultaneously (usually late) in the Integration Lab. – The Integration engineers arrive more-or-less -
Writing and Reviewing Use-Case Descriptions
Bittner/Spence_06.fm Page 145 Tuesday, July 30, 2002 12:04 PM PART II WRITING AND REVIEWING USE-CASE DESCRIPTIONS Part I, Getting Started with Use-Case Modeling, introduced the basic con- cepts of use-case modeling, including defining the basic concepts and understanding how to use these concepts to define the vision, find actors and use cases, and to define the basic concepts the system will use. If we go no further, we have an overview of what the system will do, an under- standing of the stakeholders of the system, and an understanding of the ways the system provides value to those stakeholders. What we do not have, if we stop at this point, is an understanding of exactly what the system does. In short, we lack the details needed to actually develop and test the system. Some people, having only come this far, wonder what use-case model- ing is all about and question its value. If one only comes this far with use- case modeling, we are forced to agree; the real value of use-case modeling comes from the descriptions of the interactions of the actors and the system, and from the descriptions of what the system does in response to the actions of the actors. Surprisingly, and disappointingly, many teams stop after developing little more than simple outlines for their use cases and consider themselves done. These same teams encounter problems because their use cases are vague and lack detail, so they blame the use-case approach for having let them down. The failing in these cases is not with the approach, but with its application. -
Job Description - Software Engineer I
Job Description - Software Engineer I Department: Engineering - 2013-03 Exemption Status: Non-Exempt Summary: This position is responsible for software development in multi-application, multi-server, and hosted environments. The candidate will primarily provide system/configuration support with a focus in helping the needs of both internal and external customers. He or she will participate in all facets of software and system development life-cycle. The most qualified candidate for this role will have experience working with business intelligence in the public safety and/or public health software fields and have formal software education and/or a ton of practical experience. We develop primarily in C#, .NET, SQL, SSRS and mobile. Anyone that might fit well at FirstWatch must be hard-working, people-oriented, friendly, patient, a fast learner, think quickly on their feet, take initiative and responsibility, and LOVE providing our customers great and honest customer service. This person will need to maintain a high quality productivity level within a fast paced environment. This position shares responsibility (rotates) with other engineering staff for 24×7 on call duties and so must be able to thrive in this environment. Responsibilities: - Maintain and modify the software and system configurations of production, staged, and test applications. - Interface with different stakeholders to determine and propose appropriate and effective technology solutions to meet business and technical objectives. - Develop interfaces, applications and other technical solutions to support the business needs through the planning, analysis, design, development, implementation and maintenance phases of the software and systems development lifecycle. - Create system requirements, technical specifications, and test plans. -
Metamodeling Variability to Enable Requirements Reuse
Metamodeling Variability to Enable Requirements Reuse Begoña Moros 1, Cristina Vicente-Chicote 2, Ambrosio Toval 1 1Departamento de Informática y Sistemas Universidad de Murcia, 30100 Espinardo (Murcia), Spain {bmoros, atoval}@um.es 2 Departamento de Tecnologías de la Información y las Comunicaciones Universidad Politécnica de Cartagena, 30202 Cartagena (Murcia), Spain [email protected] Abstract. Model-Driven Software Development (MDSD) is recognized as a very promising approach to deal with software complexity. The Requirements Engineering community should be aware and take part of the Model-Driven revolution, enabling and promoting the integration of requirements into the MDSD life-cycle. As a first step to reach that goal, this paper proposes REMM, a Requirements Engineering MetaModel, which provides variability modeling mechanisms to enable requirements reuse. In addition, this paper also presents the REMM-Studio graphical requirements modeling tool, aimed at easing the definition of complex requirements models. This tool enables the specification of (1) catalogs of reusable requirements models (modeling for reuse facet of the tool), and (2) specific product requirements by reusing previously defined requirements models (modeling by reuse facet of the tool). Keywords: Model-Driven Software Development (MDSD), Requirements Engineering (RE), Requirements MetaModel (REMM), Requirements Reuse, Requirements Variability. 1 Introduction Model-Driven Software Development (MDSD) aims at raising the level of abstraction at which software is conceived, implemented, and evolved, in order to help managing the inherent complexity of modern software-based systems. As recently stated in a Forrester Research Inc. study “model-driven development will play a key role in the future of software development; it is a promising technique for helping application development managers address growing business complexity and demand ” [1]. -
Project Management © Adrienne Watt
Project Management © Adrienne Watt This work is licensed under a Creative Commons-ShareAlike 4.0 International License Original source: The Saylor Foundation http://open.bccampus.ca/find-open-textbooks/?uuid=8678fbae-6724-454c-a796-3c666 7d826be&contributor=&keyword=&subject= Contents Introduction ...................................................................................................................1 Preface ............................................................................................................................2 About the Book ..............................................................................................................3 Chapter 1 Project Management: Past and Present ....................................................5 1.1 Careers Using Project Management Skills ......................................................................5 1.2 Business Owners ...............................................................................................................5 Example: Restaurant Owner/Manager ..........................................................................6 1.2.1 Outsourcing Services ..............................................................................................7 Example: Construction Managers ..........................................................................8 1.3 Creative Services ................................................................................................................9 Example: Graphic Artists ...............................................................................................10 -
Software Tools: a Building Block Approach
SOFTWARE TOOLS: A BUILDING BLOCK APPROACH NBS Special Publication 500-14 U.S. DEPARTMENT OF COMMERCE National Bureau of Standards ] NATIONAL BUREAU OF STANDARDS The National Bureau of Standards^ was established by an act of Congress March 3, 1901. The Bureau's overall goal is to strengthen and advance the Nation's science and technology and facilitate their effective application for public benefit. To this end, the Bureau conducts research and provides: (1) a basis for the Nation's physical measurement system, (2) scientific and technological services for industry and government, (3) a technical basis for equity in trade, and (4) technical services to pro- mote public safety. The Bureau consists of the Institute for Basic Standards, the Institute for Materials Research, the Institute for Applied Technology, the Institute for Computer Sciences and Technology, the Office for Information Programs, and the ! Office of Experimental Technology Incentives Program. THE INSTITUTE FOR BASIC STANDARDS provides the central basis within the United States of a complete and consist- ent system of physical measurement; coordinates that system with measurement systems of other nations; and furnishes essen- tial services leading to accurate and uniform physical measurements throughout the Nation's scientific community, industry, and commerce. The Institute consists of the Office of Measurement Services, and the following center and divisions: Applied Mathematics — Electricity — Mechanics — Heat — Optical Physics — Center for Radiation Research — Lab- oratory Astrophysics^ — Cryogenics^ — Electromagnetics^ — Time and Frequency*. THE INSTITUTE FOR MATERIALS RESEARCH conducts materials research leading to improved methods of measure- ment, standards, and data on the properties of well-characterized materials needed by industry, commerce, educational insti- tutions, and Government; provides advisory and research services to other Government agencies; and develops, produces, and distributes standard reference materials. -
Structured Programming - Retrospect and Prospect Harlan D
University of Tennessee, Knoxville Trace: Tennessee Research and Creative Exchange The aH rlan D. Mills Collection Science Alliance 11-1986 Structured Programming - Retrospect and Prospect Harlan D. Mills Follow this and additional works at: http://trace.tennessee.edu/utk_harlan Part of the Software Engineering Commons Recommended Citation Mills, Harlan D., "Structured Programming - Retrospect and Prospect" (1986). The Harlan D. Mills Collection. http://trace.tennessee.edu/utk_harlan/20 This Article is brought to you for free and open access by the Science Alliance at Trace: Tennessee Research and Creative Exchange. It has been accepted for inclusion in The aH rlan D. Mills Collection by an authorized administrator of Trace: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. mJNDAMNTL9JNNEPTS IN SOFTWARE ENGINEERING Structured Programming. Retrospect and Prospect Harlan D. Mills, IBM Corp. Stnuctured program- 2 ' dsger W. Dijkstra's 1969 "Struc- mon wisdom that no sizable program Ste red .tured Programming" articlel could be error-free. After, many sizable ming haxs changed ho w precipitated a decade of intense programs have run a year or more with no programs are written focus on programming techniques that has errors detected. since its introduction fundamentally alteredhumanexpectations and achievements in software devel- Impact of structured programming. two decades ago. opment. These expectations and achievements are However, it still has a Before this decade of intense focus, pro- not universal because of the inertia of lot of potentialfor gramming was regarded as a private, industrial practices. But they are well- lot of fo puzzle-solving activity ofwriting computer enough established to herald fundamental more change. -
Practical Agile Requirements Engineering Presented to the 13Th Annual Systems Engineering Conference 10/25/2010 – 10/28/2010 Hyatt Regency Mission Bay, San Diego, CA
Defense, Space & Security Lean-Agile Software Practical Agile Requirements Engineering Presented to the 13th Annual Systems Engineering Conference 10/25/2010 – 10/28/2010 Hyatt Regency Mission Bay, San Diego, CA Presented by: Dick Carlson ([email protected]) Philip Matuzic ([email protected]) BOEING is a trademark of Boeing Management Company. Copyright © 2009 Boeing. All rights reserved. 1 Agenda Boeing Defense, Space & Security| Lean-Agile Software . Introduction . Classic Requirements engineering challenges . How Agile techniques address these challenges . Overview / background of Agile software practices . History and evolution of Agile software Requirements Engineering . Work products and work flow of Agile Requirements Engineering . Integration of Agile software Requirements Engineering in teams using Scrum . Current status of the work and next steps Copyright © 2010 Boeing. All rights reserved. 2 Introduction Boeing Defense, Space & Security| Lean-Agile Software . A large, software-centric program applied Agile techniques to requirements definition using the Scrum approach . This presentation shows how systems engineering effectively applies Agile practices to software requirements definition and management . An experience model created from the program illustrates how failures on a large software program evolved into significant process improvements by applying specific Agile practices and principles to practical requirements engineering Copyright © 2010 Boeing. All rights reserved. 3 Requirements Reality Boeing Defense, Space & Security| Lean-Agile Software “The hardest single part of building a software system is deciding precisely what to build. No other part of the conceptual work is as difficult as establishing the detailed technical requirements, including all the interfaces to people, machines, and other software systems. No other part of the work so cripples the resulting system if done wrong. -
Employee Management System
School of Mathematics and Systems Engineering Reports from MSI - Rapporter från MSI Employee Management System Kancho Dimitrov Kanchev Dec MSI Report 06170 2006 Växjö University ISSN 1650-2647 SE-351 95 VÄXJÖ ISRN VXU/MSI/DA/E/--06170/--SE Abstract This report includes a development presentation of an information system for managing the staff data within a small company or organization. The system as such as it has been developed is called Employee Management System. It consists of functionally related GUI (application program) and database. The choice of the programming tools is individual and particular. Keywords Information system, Database system, DBMS, parent table, child table, table fields, primary key, foreign key, relationship, sql queries, objects, classes, controls. - 2 - Contents 1. Introduction…………………………………………………………4 1.1 Background……………………………………………………....................4 1.2 Problem statement ...…………………………………………………….....5 1.3 Problem discussion………………………………………………………....5 1.4 Report Overview…………………………………………………………...5 2. Problem’s solution……………………………………………….....6 2.1 Method...…………………………………………………………………...6 2.2 Programming environments………………………………………………..7 2.3 Database analyzing, design and implementation…………………………10 2.4 Program’s structure analyzing and GUI constructing…………………….12 2.5 Database connections and code implementation………………………….14 2.5.1 Retrieving data from the database………………………………....19 2.5.2 Saving data into the database……………………………………...22 2.5.3 Updating records into the database………………………………..24 2.5.4 Deleting data from the database…………………………………...26 3. Conclusion………………………………………………………....27 4. References………………………………………………………...28 Appendix A: Programming environments and database content….29 Appendix B: Program’s structure and code Implementation……...35 Appendix C: Test Performance…………………………………....56 - 3 - 1. Introduction This chapter gives a brief theoretical preview upon the database information systems and goes through the essence of the problem that should be resolved. -
CMPS 161 – Algorithm Design and Implementation I Current Course Description
CMPS 161 – Algorithm Design and Implementation I Current Course Description: Credit 3 hours. Prerequisite: Mathematics 161 or 165 or permission of the Department Head. Basic concepts of computer programming, problem solving, algorithm development, and program coding using a high-level, block structured language. Credit may be given for both Computer Science 110 and 161. Minimum Topics: • Fundamental programming constructs: Syntax and semantics of a higher-level language; variables, types, expressions, and assignment; simple I/O; conditional and iterative control structures; functions and parameter passing; structured decomposition • Algorithms and problem-solving: Problem-solving strategies; the role of algorithms in the problem- solving process; implementation strategies for algorithms; debugging strategies; the concept and properties of algorithms • Fundamental data structures: Primitive types; single-dimension and multiple-dimension arrays; strings and string processing • Machine level representation of data: Bits, bytes and words; numeric data representation; representation of character data • Human-computer interaction: Introduction to design issues • Software development methodology: Fundamental design concepts and principles; structured design; testing and debugging strategies; test-case design; programming environments; testing and debugging tools Learning Objectives: Students will be able to: • Analyze and explain the behavior of simple programs involving the fundamental programming constructs covered by this unit. • Modify and expand short programs that use standard conditional and iterative control structures and functions. • Design, implement, test, and debug a program that uses each of the following fundamental programming constructs: basic computation, simple I/O, standard conditional and iterative structures, and the definition of functions. • Choose appropriate conditional and iteration constructs for a given programming task. • Apply the techniques of structured (functional) decomposition to break a program into smaller pieces. -
Skepu 2: Flexible and Type-Safe Skeleton Programming for Heterogeneous Parallel Systems
Int J Parallel Prog DOI 10.1007/s10766-017-0490-5 SkePU 2: Flexible and Type-Safe Skeleton Programming for Heterogeneous Parallel Systems August Ernstsson1 · Lu Li1 · Christoph Kessler1 Received: 30 September 2016 / Accepted: 10 January 2017 © The Author(s) 2017. This article is published with open access at Springerlink.com Abstract In this article we present SkePU 2, the next generation of the SkePU C++ skeleton programming framework for heterogeneous parallel systems. We critically examine the design and limitations of the SkePU 1 programming interface. We present a new, flexible and type-safe, interface for skeleton programming in SkePU 2, and a source-to-source transformation tool which knows about SkePU 2 constructs such as skeletons and user functions. We demonstrate how the source-to-source compiler transforms programs to enable efficient execution on parallel heterogeneous systems. We show how SkePU 2 enables new use-cases and applications by increasing the flexibility from SkePU 1, and how programming errors can be caught earlier and easier thanks to improved type safety. We propose a new skeleton, Call, unique in the sense that it does not impose any predefined skeleton structure and can encapsulate arbitrary user-defined multi-backend computations. We also discuss how the source- to-source compiler can enable a new optimization opportunity by selecting among multiple user function specializations when building a parallel program. Finally, we show that the performance of our prototype SkePU 2 implementation closely matches that of