MS Software Engineering

The educational objectives of MSSE program are:

  • To provide high level technical knowledge in the core areas as well as the focused areas of Software Engineering
  • To prepare students for research and further graduate studies in computer science
  • To establish the interest and ability for independent lifelong and dynamic learning in graduates
  • To prepare students for becoming a valuable asset for industry with special focus on Textile industry

 

Graduates of the MSSE program will be able to: 
1. Apply proper theoretical and practical knowledge of software requirements engineering and software systems design. This includes feasibility analysis, negotiation, and good communication with stakeholders. 2. Self-learn new models, techniques, and technologies as they emerge. 3. Analyze the current significant software technology; articulate its strengths and weaknesses, and improvements. 4. Recognize the relationships between core body of knowledge in software engineering and other related engineering disciplines (e.g. systems and computer engineering) and to be able to apply software engineering techniques to solve problems in related engineering disciplines. 5. Reconcile conflicts in software project objectives, finding acceptable compromises within limitations of cost, time, and organization’s core business. 6. Carry out literature review, develop research proposal, and conduct research in specific topics related to software engineering core areas/develop an approach to analyze and solve specific software engineering problem. 

Graduates of the MSSE program will be able to: 

  1. Apply proper theoretical and practical knowledge of software requirements engineering and software systems design. This includes feasibility analysis, negotiation, and good communication with stakeholders.
  2. Self-learn new models, techniques, and technologies as they emerge.
  3. Analyze the current significant software technology; articulate its strengths and weaknesses, and improvements.
  4. Recognize the relationships between core body of knowledge in software engineering and other related engineering disciplines (e.g. systems and computer engineering) and to be able to apply software engineering techniques to solve problems in related engineering disciplines.
  5. Reconcile conflicts in software project objectives, finding acceptable compromises within limitations of cost, time, and organization’s core business.
  6. Carry out literature review, develop research proposal, and conduct research in specific topics related to software engineering core areas/develop an approach to analyze and solve specific software engineering problem. 

 

First Semester

Code Course Title Credit Hours
 SEC-5071  Software Requirement Engineering  3
 SEE-XXXX  Elective-I  3
 SEE-XXXX  Elective-II  3

Second Semester

Code Course Title Credit Hours
 SEC-5073  Software Quality Assurance  3
 SEE-XXXX  Elective-III  3
 SEE-XXXX  Elective-IV  3

Third Semester

Code Course TitleCredit Hours
 SEE-XXXX  Elective-V  3
 SEE-XXXX  Elective-VI  3
 SEC-6072  MS Thesis  3

Fourth Semester

Code Course Title Credit Hours
 SEC-6072  MS Thesis  3
     
     

List of Elective Courses

Code Course TitleCredit Hours
 SEE-6071  Software System Architecture  3
 SEE-6072  Software Risk Management  3
 SEE-6073  Software Measurement and Metrics  3
 SEE-6074  Software Configuration Management  3
 SEE-6075  Reliability Engineering  3
 SEE-6076  Component Based Software Engineering  3
 SEE-6077  Design Patterns  3
 SEE-6078  Complex Networks  3
 SEE-6079  Agent Based Modelling  3
 SEE-6080  Formal Methods  3
 SEE-6081  Software Engineering Ontologies  3
 SEE-6082  Semantic Based Software Engineering  3
 SEE-6083  Model Driven Software Development  3
 SEE-6084  Software Process Engineering  3

SEE–5071 Software Requirements Engineering

Role of requirements engineering in system development, Fundamental concepts and activities of requirements engineering, Information elicitation techniques, Fundamentals of goal-oriented requirements engineering, Modeling behavioral goals, Modeling quality goals, Goal modeling heuristics, Deriving operational requirements from goals, Requirements Specification, Requirements verification and validation, Management of inconsistency and conflict, requirements engineering risks, requirement change control board and process, the role of quality goals in the requirements selection process, Techniques for requirements evaluation, selection and prioritization; Requirements management; Requirements traceability and impact analysis. 

Reference Books:

1. Software Requirements, Karl E. Wiegers, Microsoft Press, 2003(or Latest Edition). 2. Software Requirements Specification, David Tuffley, CreateSpace Independent Publishing Platform, 2010 (or Latest Edition). 3. System Requirements Engineering, Loucopoulos and Karakostas, McGraw-Hill, 1995(or Latest Edition). 4. Requirements Engineering: Processes and Techniques, Gerald Kotonya and Sommerville, John-Wiley Sons,1998 (or Latest Edition).

SEE–5073 Software Quality Assurance

What Is Software Quality: Quality Assurance, Quality Engineering Software Testing: Testing: Concepts, Issues, and Techniques, Test Activities, Management, and Automation, Coverage and Usage Testing Based on Checklists and Partitions, Input Domain Partitioning and Boundary Testing, Coverage and Usage Testing Based on Finite-State Machines and Markov Chains, Control Flow, Data Dependency, and Interaction Testing, Testing Techniques: Adaptation, Specialization, and Integration. Quality Assurance Beyond Testing: Defect Prevention and Process Improvement, Software Inspection, Formal Verification, Fault Tolerance and Failure Containment, Comparing Quality Assurance Techniques and Activities. Quality Assurance Beyond Testing: Defect Prevention and Process Improvement, Software Inspection, Formal Verification, Fault Tolerance and Failure Containment, Comparing Quality Assurance Techniques and Activities. Quantifiable Quality Improvement: Feedback Loop and Activities for Quantifiable Quality Improvement, Quality Models and Measurements, Defect Classification and Analysis. Risk Identification for Quantifiable Quality Improvement, Software Reliability Engineering.

Reference Books:

1. Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement, Jeff Tian, Wiley-IEEE Computer Society Press, 1st Edition, 2005(or Latest Edition). 2. Mastering Software Quality Assurance: Best Practices, Tools and Techniques for Software Developers”, Murali Chemuturi, J. Ross Publishing, 2010 (or Latest Edition).

MS (SE) Elective Courses

SEE–6071 Software System Architecture

Definition and overview of software architecture, the architecture business cycle, Understanding and achieving quality attributes, Attribute-driven design, Documenting software architecture, Evaluating software architecture, Architecture reuse Life-cycle view of architecture design and analysis methods, The QAW, a method for eliciting critical quality attributes, such as availability, performance, security, interoperability, and modifiability, Architecture Driven Design, Evaluating a software architecture (ATAM, CBAM, ARID), Principles of sound documentation, View types, styles, and views; Advanced concepts such as refinement, context diagrams, variability, software interfaces, and how to document interfaces; Documenting the behavior of software elements and software systems; Choosing relevant views; Building a documentation package, Future of Software Design, Architecture Description Languages, Introduction to AADL , AADL: Continued , Testing Architectures, Feature Modeling in SPLs, Testing a Family of Products.

Reference Books:

1. Software Architecture: Foundations, Theory, and Practice, Taylor, Medvidovic, and Dashofy, Wiley, 1st Edition, 2009(or Latest Edition). 2. Architecting Software Intensive Systems: A Practitioners Guide, Anthony J. Lattanze, Auerbach Publications, 2008(or Latest Edition). 3. Software Architecture in Practice, Bass, Clements, and Kazman, 2nd Edition, Addison-Wesley Professional, 2003(or Latest Edition). 4. Evaluating Software Architectures: Methods and Case Studies, Clements,Kazman, Klein, Addison-Wesley Professional, 2001(or Latest Edition). 5. Software Product Lines: Practices and Patterns, P. Clements and L.Northrup, Addison-Wesley, 2002(or Latest Edition).

SEE–6072 Software Risk Management

Risk-Management Discovery, Risk-Management Process, Process steps, inputs, and outputs, Methods and tools, reusable process component. Risk-Management Infrastructure, Training metrics, establishing a baseline for quantitative process improvement, infrastructure, there is no strategic plan in place to institutionalize risk management. Senior managers, engineering managers, and change agents should benefit from these organizational building blocks. Risk-Management Implementation, standard process, Risk management activities, lifecycle planning, budgeting, scheduling, and staffing. Crisis and Control, risk-management evolution stages, Effective and ineffective practices.

Reference Books:

Managing Risk: Methods for Software Systems Development, Elaine M.Hall, Addison-Wesley (or Latest Edition).

SEE–6073 Software Measurements & Metrics

Introduction to foundations of measurement theory, models of software engineering measurement, software products metrics, software process metrics and measuring management. Measurement theory (overview of software metrics, basics of measurement theory, goal-based framework for software measurement, empirical investigation in software engineering). Software product and process measurements (measuring internal product attributes: size and structure, measuring external product attributes: quality, measuring cost and effort, measuring software reliability, software test metrics, object-oriented metrics) Measurement management.

Reference Books:

1. A Rigorous and Practical Approach Software Metrics, N.E. Fenton, S.L.Pfleeger, PWS Publishing (or Latest Edition). 2. Metrics and Models in Software Quality Engineering, Stephen H.Kan, Addison-Wesley Professional (or Latest Edition). 3. Software Engineering Measurement, John C. Munson, Auerbach Publications (or Latest Edition).

SEE–6074 Software Configuration Management

Source Code Management, Build Engineering, Environment Configuration, Change Control, Release Management, Deployment, Architecting Your Application for CM, Hardware Configuration Management, Rightsizing Your Processes, Overcoming Resistance to Change, Personality and CM: A Psychologist Loods at the Workplace, Learning From Mistakes, Establishing IT Controls and Compliance, Industry Standards and Framework.

Reference Books:

1. Software configuration management handbook, Alexis Leon, Artech House, 2005 (or Latest Edition) 2. Software Configuration Management Patterns: Effective Teamwork, Practical Integration, Stephen P. Berczuk, Brad Appleton, Addison Wesley, 2004 (or Latest Edition).

SEE–6076 Component Based Software Engineering

Introduction to CBSE, Reuse, Basic Concepts in CBSE, Modeling components with UML, Open-COM component model, Fractal component model, Component Models and Technology, Component contracts component specification techniques, Component integration and Predictable composition, Service Oriented Computing - Key Concepts and Principles, SOA.

Reference Books:

1. Component Software: Beyond Object Oriented Programming, Clemens Szyperski, Second Edition, Addison Wesley, 2002 (latest ed.). 2. Building reliable component based software systems, Ivica Crnkovic, Magnus Larsson. Artech House, 2002 (latest ed.). 3. Service-oriented Computing: Semantics, Processes, Agents, Munindar P.Singh and Michael N. Huhns, 2005 (latest ed.)

SEE–6077 Design Patterns

Overview of Object-Oriented Analysis and Design, Design Patterns (Concepts, Major issues, Reuse of ideas), Creational Patterns, Structural Patterns, Behavioral Patterns. Applications of design patterns for: Organization of Work, Access Control, Service Variation and Service Extension, Object Management and Adaptation, Architectural Patterns, Patterns for Distribution, Patterns for Interactive Systems, Adaptable Systems. Frameworks and Patterns, Idea of frameworks, Patterns for flexibility, achieving benefits of frameworks, Failures of frameworks.

Reference Books:

1. Design Patterns: Elements of Reusable OO Software, Ralph Johnson, John Vlissides, Richard Helm, Erich Gamma, Addison-Wesley Professional, 1994 (latest ed.) 2. Pattern Hatching: Design Patterns Applied, Vlissides, Addison-Wesley Professional, 1998.

SEE–6078 Complex Networks

What are networks and why networks, Erdos-Renyi random, small-world and scale-free network models, Calculation of basic measures in networks, Degree and eccentricity Centrality, Shortest path between start and end nodes, case study of calculation, Clustering coefficient, Matching index and case study, Network tools overview, Pajek, Network Workbench, Gephi, Visone, Cytoscape, Centibin, Network Simulation (Agent-based simulation of networks), Biological networks, Social Networks, Scientometric study using Networks, Modelling Communication Networks as graphs/networks, Disk Graph models such as WSNs.

Reference Books:

1. Dynamical Processes on Complex Networks, Alain Barrat, Marc Barthélemy, Alessandro Vespignani, Cambridge University Press, 2012.(latest ed.) 2. The Structure and Dynamics of Networks, Mark Newman, Albert-Lazlo Barabasi, Duncan J. Watts, Princeton University Press, 2006 (latest ed.) 3. Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences), Wouter De Nooy, Andrej Mrvar and Vladimir Batagelj, Cambridge University Press, Second Edition, 2011 (latest ed.) 4. Analysis of Biological Networks (Wiley Series in Bioinformatics), Björn H.Junker and Falk Schreiber, Wiley- Interscience, 2008 (latest ed.)

SEE–6079 Agent-Based Modeling

Introduction to Agent-based Models, Introduction to NetLogo, Describing ABMs, First ABM Development, Animation to Science, Model Verification & Validation, Emergence, Adaptive Behavior, Prediction, Cognitive AB Computing Framework, Complex Network Modeling, Exploratory AB Modeling, Descriptive AB Modeling, Validated AB Modeling.

Reference Books:

1. Agent-Based and Individual-Based Modeling: A Practical Introduction by Steven F. Railsback and Volker Grimm, 2011 (latest ed.). 2. Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation, Michael J. North and Charles M.Macal, 2007.

SEE–6080 Formal Methods

Introduction to Formal methods, Introducing Z, Elements of Z, Logic, Using Predicates in Z, Schemas and Schema Calculus, Formal Reasoning, Case Studies in Z, Computer Graphics and Computational Geometry. Rule-Based Programming, Graphical User Interface, Safety-Critical Protection System, Modeling Large Systems, Object- Oriented Programming Model and Z, Concurrency and Real-time, Refinement, Program Derivation and Formal Verification, Converting Z into Code.

Reference Books:

1. The Way of Z: Practical Programming with Formal Methods by Jonathan Jacky, Cambridge University Press (November 28, 1996). ISBN-10:0521559766 2. Z: An Introduction to Formal Methods by Antoni Diller, Wiley; 2nd Edition (July 27, 1994). ISBN-10: 0471939730 3. Model Checking by Edmund M. Clarke Jr., Orna Grumberg, Doron A.Peled , MIT Press, 1st Edition (1999). ISBN-13: 978-0262032704. 4. Reactive Systems: Modelling, Specification and Verification by Luca Aceto, Anna Ingólfsdóttir, Kim Guldstrand Larsen and Jiri Srba, Cambridge University Press (August 13, 2007). ISBN-10: 0521875463 5. Fundamentals of Algebraic Specifications: Equations and Initial Semantics, H. Ehrig & B. Mahr, Springer- Verlag (1985), ISBN 0-387-13718-1. 6. Systems and Software Verification: Model-Checking Techniques and Tools. By B. Berard, M. Bidoit, A. Finkel, F. Laroussinie, A. Petit, L.Petrucci, and P. Schnoebelen, Springer, 1st Edition , 2001. ISBN-10:3642074782 7. Algebraic Specifications in Software Engineering by I. Van Horebeek & J.Lewi, Springer; 1st Edition (December 19, 1989). ISBN-10: 3540516263

Candidates must have 16 years of education i.e. BS in Computer Science/Bachelor of Computer Science/MSc in Computer Science, BSIT, BSSE 4 year, BS Telecommunication or equivalent from HEC recognized university/ Institute with a minimum CGPA 2.00/4.00 or first division in annual system.

The applicant must pass NTU-GAT (General) test conducted by National Textile University, as per HEC guidelines and adopted by Advanced Studies and Research Board of NTU, Faisalabad with a minimum of 50% cumulative score.

The applicant must not be already registered as a student in any other academic program in Pakistan or abroad.

Admission Criteria

Admission merit list will be prepared according to the following criteria.

 MS Textile Engineering
BS or Equivalent  60% weightage
 NTU GAT (General) Test  30% weightage
 Interview  10% weightage
 Practical experience  (preferable)

SEMESTER-WISE PAYMENT IN PAK RUPEES

Fee Head1st 2nd3rd4th
Tuition Fee 27000 27000 18000 18000
Admission Fee 20000 - - -
Degree Fee - - - 5000
Certificate Verification Fee 2000 - - -
Processing Fee - 5000 - -
University Security 5000 - - -
Red Crescent  Donation 100 - - -
University Card Fee 300 - - -
Library Fee 1000 1000 1000 1000
Examination Fee 3000 3000 3000 3000
Medical Fee 2000 2000 2000 2000
Student Activity Fund 2000 2000 2000 2000
Endowment Fund 1000 1000 1000 1000
Transport Fee* 5000 5000 5000 5000
TOTAL 68400 46000 32000 37000

* There is no Transport Fee for Hostel Resident but they will pay hostel charges