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HANDLED BY Ms.k.CHITHARTHANI L/IT. Aim: To present the concept regarding how the sotware projects are planned, monitored and controlled. Objective: 

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Presentation on theme: "HANDLED BY Ms.k.CHITHARTHANI L/IT. Aim: To present the concept regarding how the sotware projects are planned, monitored and controlled. Objective: "— Presentation transcript:

1 HANDLED BY Ms.k.CHITHARTHANI L/IT

2 Aim: To present the concept regarding how the sotware projects are planned, monitored and controlled. Objective:  To introduce the basic concepts regarding the software project.  To give the students an idea about the concept of conventional software project management and modern software project management.  To study the lifecycle phases and workflow of the software process.  To train the students in the concepts of how the defects are analysis and how we prevent such defects.  To study the concept of software quality management.  To familiarize the students with the ideas COCOMO cost estimation model.

3 CS1021 – SOFTWARE PROJECT MANAGEMENT L T P C 3 0 0 3 UNIT I FUNDAMENTALS 9 Conventional software management − Evolution of software economics -Improving software economics − Conventional versus modern software project management. UNIT II SOFTWARE MANAGEMENT PROCESS FRAMEWORK 9 Lifecycle phases − Artifacts of the process − Model based software architectures −Workflows of the process − Checkpoints of the process. UNIT III SOFTWARE MANAGEMENT DISCIPLINES 9 Iterative process planning − Organisation and responsibilities − Processautomation −Process control and process instrumentation − Tailoring the process.

4 UNIT IV MANAGED AND OPTIMIZED PROCESS 9 Data gathering and analysis − Principles of data gathering − Data gathering process −Software measures − Data analysis − Managing software quality − Defect prevention. UNIT V CASE STUDIES 9 COCOMO cost estimation model − Change metrics − CCPDS-R.

5 TEXT BOOKS 1. Walker Royce, “Software Project Management - A Unified Framework”,Pearson Education, 2004. 2. Humphrey Watts, “Managing the Software Process”, Addison Wesley, 1989. REFERENCES 1. Humphrey Watts, “Managing the Software Process”, Addison Wesley, 1989. 2. Ramesh Gopalaswamy, “Managing Global Projects”, Tata McGraw Hill,2001. 3. Bob Hughes and Mikecotterell, “Software Project Management”,3rd Edition, Tata McGraw Hill, 2004.

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7  The Old Way (Conventional SPM)  The Waterfall Model  Conventional Software Management Performance  Evolution of Software Economics  Software Economics  Pragmatic Software Cost Estimation

8  Improving Software Economics  Reducing Software Product Size  Improving Software Processes  Improving Team Effectiveness  Improving Automation through Software Environments  Achieving Required Quality  Peer Inspections: A Pragmatic View  The Old Way and the New  The Principles of Conventional Software Engineering  The Principles of Modern Software Management  Transitioning to an Iterative Process

9  Life-Cycle Phases  Engineering and Production Stages  Inception Phase  Elaboration Phase  Construction Phase  Transition Phase  Artifacts of the Process  The Artifact Sets  Management Artifacts  Engineering Artifacts  Pragmatic Artifacts

10  Model-based software Architectures  Architecture: A Management Perspective  Architecture: A Technical Perspective  Workflows of the Process  Software Process Workflows  Iteration Workflows  Checkpoints of the Process  Major Milestones  Minor Milestones  Periodic Status Assessments

11  Iterative Process Planning  Work Breakdown Structures  Planning Guidelines  The Cost and Schedule Estimating Process  The Iteration Planning Process  Pragmatic Planning  Project Organizations andResponsibilities  Line-of-Business organizations  Project Organizations  Evolution Organizations  Process Automation  Tools: Automation Building Blocks  The Project Environment

12  Project Control and Process Instrumentation  The Seven Core Metrics  Management Indicators  Quality Indicators  Life-Cycle Expectations  Pragmatic Software Metrics  Metrics Automation  Tailoring the Process  Process Discriminants  Example: Small-Scale Project Versus Large-scale Project

13 Data gathering and analysis

14  COCOMO CASE STUDY  CHANGE METRICS CASE STUDY  CCPDS-R CASE STUDY

15 1.http://www.fairdene.com/picalculus/wor kflow-is-just-a-pi-process.pdfhttp://www.fairdene.com/picalculus/wor kflow-is-just-a-pi-process.pdf 2.http://www.softstarsystems.com/overvie w.htmhttp://www.softstarsystems.com/overvie w.htm 3.http://www.sei.cmu.edu/library/abstract s/reports/94tr024.cfmhttp://www.sei.cmu.edu/library/abstract s/reports/94tr024.cfm 4.http://www.industry.siemens.com/topics /global/en/process- automation/Pages/Default.aspxhttp://www.industry.siemens.com/topics /global/en/process- automation/Pages/Default.aspx

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