Guías Docentes Electrónicas
1. General information
Course:
SOFTWARE ENGINEERING II
Code:
42324
Type:
CORE COURSE
ECTS credits:
6
Degree:
406 - UNDERGRADUATE DEGREE IN COMPUTER SCIENCE AND ENGINEERING (AB)
Academic year:
2022-23
Center:
604 - SCHOOL OF COMPUTER SCIENCE AND ENGINEERING (AB)
Group(s):
10  11  12 
Year:
3
Duration:
First semester
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
N
Web site:
Bilingual:
Y
Lecturer: GREGORIO DIAZ DESCALZO - Group(s): 11 
Building/Office
Department
Phone number
Email
Office hours
Politécnica / 0.B.8
SISTEMAS INFORMÁTICOS
2373
gregorio.diaz@uclm.es
https://www.esiiab.uclm.es/pers.php?codpers=158&curso=2022-23

Lecturer: VICTOR MANUEL LOPEZ JAQUERO - Group(s): 10 
Building/Office
Department
Phone number
Email
Office hours
ESII / 0.B.8
SISTEMAS INFORMÁTICOS
2461
victormanuel.lopez@uclm.es
https://www.esiiab.uclm.es/pers.php?codpers=134&curso=2022-23

Lecturer: ELENA MARIA NAVARRO MARTINEZ - Group(s): 11  12 
Building/Office
Department
Phone number
Email
Office hours
ESII / 0.B.9
SISTEMAS INFORMÁTICOS
2365
elena.navarro@uclm.es
https://www.esiiab.uclm.es/pers.php?codpers=enavarro&curso=2022-23

2. Pre-Requisites

Students are required to have already passed Programming Fundamentals I and II, as well as Software Engineering I and Databases to have a minimum guarantee of passing this course. Those students who haven't already passed these courses and are interesting in getting enrolled in Software Engineering II, should make a major effort to acquire the necessary knowledge and experience of software design and databases.

3. Justification in the curriculum, relation to other subjects and to the profession

This subject pretends to offer a big picture of the Software Engineering processes and their relations to create work teams that develop information systems industrializing such processes, highlighting that this development is always cooperative and multidisciplinary.

For this aim, the subject introduces the concept of Software Lifecycle and describes a map of the processes necessary to develop software with a work team, explaining its enactment when different software development methodologies are used. Moreover, different important process are presented such as configuration management, quality management, testing management and maintenance management.

As result, it is expected that the student will be able to achieve the abilities and knowledge necessary to work as Software Engineer.

Moreover, it is important to highlight that this subject belong to the module of Software Engineering, Information Systems and Intelligent Systems of the curriculum and provides the basis for the subjects of the specialty of Software Engineering:

- Requirements Engineering

- Software Design

- Process of Software Engineering

- Quality of Software Engineering

- Software Project Management

- Databases Development

- Enterprise Information Systems

- Security of Software Systems


4. Degree competences achieved in this course
Course competences
Code Description
BA04 Basic knowledge about the uses and programming of computers, operating systems, data bases, and digital programmes with applications in engineering.
CO01 Ability to design, develop, select, and assess, applications and digital systems, guaranteeing their reliability, security, and quality, according to ethical principles and the current and common laws.
CO02 Ability to conceive, plan, develop and manage projects, services, and digital systems in any context, leading their start and applying continuous improvements, assessing their economic and social impact.
CO03 Ability to understand the important of negotiation, work efficiency, leadership, and communication abilities in every context of software development.
CO05 Knowledge, administration, and maintenance of systems, services and digital systems.
CO08 Ability to analyse, design, build and maintain applications in a strong, safe, and efficient manner by selecting the most appropriate paradigms and programming languages.
CO16 Knowledge and application of principles, methodologies, and life spans of software engineering.
PER01 Team work abilities.
SIS04 Adaptation to new scenarios.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
Knowledge and use of the technologies that support the construction and use of information systems.
Implementation and maintenance of applications according to the analysis and design activities previously carried out.
Knowledge about tools that support the construction of software systems and the storage and processing of data.
Knowledge and application of different types of software life cycle models.
Consideration of the aspects of quality in software development such as usability, accessibility, security, reliability, etc.
Additional outcomes
Description
Achieve professional preparation of computer scientists for entering in the labor market in teams oriented to the development and exploitation of computer applications.
Understand the need of version control and change control as a self-protection mechanism in the software development process and be able to correctly apply these principles.
Select and apply the appropriate testing techniques according to both the characteristics of the product and the development process.
Adequately plan and document the testing process according to the specific needs of the project.
Have an overview of quality in software development as a key for its success.
Have an overview and knowledge of international standards related to the quality of a software product.
Have an overview and knowledge of international standards related to the maturity of software processes.
Know and appropriately apply existing software maintenance techniques.
6. Units / Contents
  • Unit 1: Configuration Management
  • Unit 2: Software Testing: Techniques and Strategies
  • Unit 3: DevOps
  • Unit 4: Software Testing: Strategies and Processes
  • Unit 5: Software Testing: Processes and Documentation
  • Unit 6: Software Quality
  • Unit 7: Software maintenance
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures CO02 CO03 CO05 0.74 18.5 N N Lectures will be provided about the different topics of the subject. This is an individual activity.
Problem solving and/or case studies [ON-SITE] Problem solving and exercises CO02 CO08 PER01 SIS04 0.16 4 Y N Collaborative problem solving. Group Activity.
Workshops or seminars [ON-SITE] Workshops and Seminars BA04 CO02 CO03 CO08 PER01 0.62 15.5 Y N Seminars about the tools to be used during the laboratory session, explaining their relationship with theoretical concepts. An assessment of the theoretical and practical ideas explained will be carried out.
Practicum and practical activities report writing or preparation [OFF-SITE] Other Methodologies CO02 CO03 CO08 PER01 0.24 6 N N Autonomous activity to assess some theoretical concepts.
Study and Exam Preparation [OFF-SITE] Other Methodologies CO02 CO08 1.28 32 N N Autonomous activity to study and understand the topics presented in the subject.
Laboratory practice or sessions [ON-SITE] Group Work BA04 CO01 CO02 CO03 CO08 CO16 PER01 SIS04 0.72 18 N N Team activity to carry out the lab assignements as both autonomous and tutorized work. As far as possible, it would be coordinated with the assignements of the Project Management subject.
Laboratory practice or sessions [ON-SITE] Assessment tests CO02 CO03 CO08 PER01 SIS04 0.05 1.25 Y Y Assesment of the lab assignments considering both team and individual work.
Writing of reports or projects [OFF-SITE] Cooperative / Collaborative Learning BA04 CO01 CO02 CO03 CO05 CO16 PER01 SIS04 2.08 52 N N Team work to carry out reports, models, implementation, etc required for the lab assignaments.
Final test [ON-SITE] Assessment tests CO02 CO08 0.11 2.75 Y Y Final exam carried out by the student.
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Assessment of active participation 10.00% 0.00% The different activities related to the theoretical content of the subject presented in the seminars will be evaluated [PRES].

For those students who select Non-continuous evaluation this activity won't be retaken.
Laboratory sessions 45.00% 45.00% Continuous evaluation
---------------------------------
The laboratory work will be carried out in groups of 3-4 people.
3 EVALUATIONS will be conducted throughout the semester for each one of the Iterations (1-3). Thus, the mark of Laboratory will be calculated as:
Laboratory = 10% Iteration 1 + 30% Iteration 2 + 60% Iteration 3

In case of failing, the student must attend the Extraordinary Call, which will take place at the end of February.

The mark of each one of the evaluations will be assigned in a hybrid way: group and individual. In each evaluation, the following will be carried out:
- group tasks, whose evaluation will depend on the result generated by the group as a whole,
- individual tasks, the evaluation will depend on the work of each student.
In the evaluation process, the teachers of the subject will choose which people of the group will be responsible for presenting the work done.
In each of the evaluation acts, both the work done in the laboratory [LAB] (22.5%) and the requested reports [INF] (22.5%) will be evaluated.
In addition, the CO2, CO3, CO8, PER1, SIS4 competences will be also evaluated.

NON-CONTINUOUS Evaluation
---------------------------------------
Alternatively, if the students decide to follow the NON-CONTINUOUS evaluation, the student will present the project carried out and the same criteria and requirements will be applied as for the continuous evaluation.
The NON-CONTINUOUS evaluation will be carried out on the same date as the evaluation of Iteration 3 in the Ordinary call. The Extraordinary call will be evaluated at the end of February.
Final test 45.00% 45.00% A final exam [ESC] will be carried out to evaluate both theoretical and practical contents.
Moreover, competences CO2 and CO8 will be also evaluated.
Other methods of assessment 10.00% 10.00% [Optional] Teams participating in international contests, such as Imagine CUP or ACM Student Research Competition, as result of their work in the subject may obtain 1 additional point. Such point will be obtained provided the team has really submitted its work achieving certain quality levels, once it has been approved by the teacher, and having a final score higher or equal than 5 out of 10 for both Theory and Lab sessions.
Other methods of assessment 10.00% 10.00% [Optional] Those students interested in carrying out a theoretical/practical report related to a topic of the subject, may obtain 1 additional point once such work has been approved by the teacher.
Total: 120.00% 110.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    To pass the subject, the student must obtain a 5 in the subject satisfying the following criteria:
    - Theory [ESC]: To pass the subject, it will be necessary to obtain 4 out of 10.
    - Laboratory[INF] [LAB]: To pass the subject, it will be necessary to obtain 4 out of 10. The practical mark will be saved for future calls as long as the score is higher than 5.

    The Final grade of the subject will be calculated as:
    Final = (Final test * 0.45) + (Laboratory* 0.45) + Active Participation + Optional Assignments + Contests
    If Theory [ESC] or Laboratory[INF] [LAB] are lesser than 4 out of 10, then Final Grade of the subject will be FAILED and the score of the subject will be calculated as the minimum between [Final] and 4,0.

    It is mandatory that Final must be greater than or equal to 5 in order to pass the subject.

    By default, all the students will be evaluated by continuous assessment. In case someone wishes to change to non-continuous evaluation, he/she will use the following link to notify it before the end of the semester:
    https://www.esiiab.uclm.es/alumnos/evaluacion.php

    Any student may change to the non-continuous assessment mode as long as they have not participated during the teaching period in assessable activities that together account for at least 50% of the total assessment of the subject. If a student has achieved that 50% of assessable activities or if, in any case, the class period has ended, it will be considered in continuous evaluation without the possibility of change evaluation modality.
  • Non-continuous evaluation:
    To pass the subject, the student must obtain a 5 in the subject satisfying the following criteria:
    - Theory [ESC]: To pass the subject, it will be necessary to obtain 4 out of 10.
    - Laboratory[INF] [LAB]: To pass the subject, it will be necessary to obtain 4 out of 10. The practical mark will be saved for future calls as long as the score is higher than 5.

    The Final grade of the subject will be calculated as:
    Final = (Final test * 0.45) + (Laboratory* 0.45) + Active Participation + Optional Assignements + Contests
    If Theory [ESC] or Laboratory[INF] [LAB] are lesser than 4 out of 10, then Final Grade of the subject will be FAILED and the score of the subject will be calculated as the minimum between [Final] and 4,0.

    It is mandatory that Final must be greater than or equal to 5 in order to pass the subject.

Specifications for the resit/retake exam:
To pass the subject, the student must obtain a 5 in the subject satisfying the following criteria:
- Theory [ESC]: To pass the subject, it will be necessary to obtain 4 out of 10.
- Laboratory[INF] [LAB]: To pass the subject, it will be necessary to obtain 4 out of 10. The practical mark will be saved for future calls as long as the score is higher than 5.

The Final grade of the subject will be calculated as:
Final = (Final test * 0.45) + (Laboratory* 0.45) + Active Participation + Optional Assignements + Contests
If Theory [ESC] or Laboratory[INF] [LAB] are lesser than 4 out of 10, then Final Grade of the subject will be FAILED and the score of the subject will be calculated as the minimum between [Final] and 4,0.

It is mandatory that Final must be greater than or equal to 5 in order to pass the subject.
Specifications for the second resit / retake exam:
To pass the subject, the student must obtain a 5 in the subject satisfying the following criteria:
- Theory [ESC]: To pass the subject, it will be necessary to obtain 4 out of 10.
- Laboratory[INF] [LAB]: To pass the subject, it will be necessary to obtain 4 out of 10. The practical mark will be saved for future calls as long as the score is higher than 5.

The Final grade of the subject will be calculated as:
Final = (Final test * 0.45) + (Laboratory* 0.45) + Active Participation + Optional Assignements + Contests
If Theory [ESC] or Laboratory[INF] [LAB] are lesser than 4 out of 10, then Final Grade of the subject will be FAILED and the score of the subject will be calculated as the minimum between [Final] and 4,0.

It is mandatory that Final must be greater than or equal to 5 in order to pass the subject.
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Practicum and practical activities report writing or preparation [AUTÓNOMA][Other Methodologies] 6
Laboratory practice or sessions [PRESENCIAL][Group Work] 18
Laboratory practice or sessions [PRESENCIAL][Assessment tests] 1.25
Writing of reports or projects [AUTÓNOMA][Cooperative / Collaborative Learning] 52
Final test [PRESENCIAL][Assessment tests] 2.75

Unit 1 (de 7): Configuration Management
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 1.75
Workshops or seminars [PRESENCIAL][Workshops and Seminars] 5.5
Study and Exam Preparation [AUTÓNOMA][Other Methodologies] 7
Teaching period: Week 1-5
Comment: This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in 3 sessions of 1h30m per week.

Unit 2 (de 7): Software Testing: Techniques and Strategies
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 3.75
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 3
Study and Exam Preparation [AUTÓNOMA][Other Methodologies] 6
Teaching period: Week 6-7
Comment: This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in 3 sessions of 1h30m per week.

Unit 3 (de 7): DevOps
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 1
Workshops or seminars [PRESENCIAL][Workshops and Seminars] 3
Study and Exam Preparation [AUTÓNOMA][Other Methodologies] 3
Teaching period: Week 8-11
Comment: This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in 3 sessions of 1h30m per week.

Unit 4 (de 7): Software Testing: Strategies and Processes
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
Workshops or seminars [PRESENCIAL][Workshops and Seminars] 5
Study and Exam Preparation [AUTÓNOMA][Other Methodologies] 6
Teaching period: Week 12-13
Comment: This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in 3 sessions of 1h30m per week.

Unit 5 (de 7): Software Testing: Processes and Documentation
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Study and Exam Preparation [AUTÓNOMA][Other Methodologies] 2
Teaching period: Week 14
Comment: This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in 3 sessions of 1h30m per week.

Unit 6 (de 7): Software Quality
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 3
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] 1
Study and Exam Preparation [AUTÓNOMA][Other Methodologies] 6
Comment: This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in 3 sessions of 1h30m per week.

Unit 7 (de 7): Software maintenance
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Workshops or seminars [PRESENCIAL][Workshops and Seminars] 2
Study and Exam Preparation [AUTÓNOMA][Other Methodologies] 2
Comment: This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in 3 sessions of 1h30m per week.

Global activity
Activities hours
General comments about the planning: This course schedule is APPROXIMATE. It could vary throughout the academic course due to teaching needs, bank holidays, etc. A weekly schedule will be properly detailed and updated on the online platform (Virtual Campus). Note that all the lectures, practice sessions, exams and related activities performed in the bilingual groups will be entirely taught and assessed in English. Classes will be scheduled in 3 sessions of 1h30m per week. Evaluation activities or catch-up classes may exceptionally be scheduled in the afternoon (morning).
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
BROWN, W.J., MCCORMICK, H.W., THOMAS, S.W. AntiPatterns: refactoring software, architectures and projec John Wiley and Sons 0-471-19713-0 1998 Mantenimiento Ficha de la biblioteca
Burnstein, Ilene Practical software testing: a process-oriented approach Springer 0-387-95131-8 2003 Pruebas Ficha de la biblioteca
Fowler, Martin (1963-) Refactoring : improving the design of existing code Addison-Wesley, 978-0-13-475759-9 2019 Mantenimiento Ficha de la biblioteca
Galin, Daniel Software quality assurance: from theory to implementation Pearson 0-201-70945-7 2004 Calidad Ficha de la biblioteca
Gregory, Janet More agile testing: learning journeys for the whole team / Addison-Wesley 978-0-321-96705-3 2015 Pruebas Ficha de la biblioteca
Humble, Jez & Farley, David Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation Addison-Wesley 978-0-321-60191-9 2011 Gestión de Configuración Ficha de la biblioteca
Kan, Stephen H. Metrics and models in software quality engineering Addison-Wesley 0-201-63339-6 2002 Calidad Ficha de la biblioteca
Kaner, Cem Testing computer software John Wiley & Sons, 0-471-35846-0 1999 Pruebas Ficha de la biblioteca
Kim, Gene. The devops handbook : how to create world-class agility, rel IT Revolution Press, LLC, 978-1-942788-00-3 2016 Gestión de Configuración Ficha de la biblioteca
LEON, A. Software Configuration Management Handbook Artech House 1580530729 2005 Gestión de Configuración  
Pigoski, Thomas M. Practical software maintenance John Wiley & Sons 0-471-17001-1 1997 Mantenimiento Ficha de la biblioteca



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