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Software Quality

Code:

MES1

Sigla:

QS

Áreas Científicas
Classificação	Área Científica
OFICIAL	Informática

Ocorrência: 2023/2024 - 1S

Ativa?	Yes
Página Web:	https://moodle.ips.pt/2324/course/view.php?id=1748
Unidade Responsável:	Departamento de Sistemas e Informática
Curso/CE Responsável:

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
MES	9	Plano de Estudos 2017-2018	1	-	7,5	-	202,5

Língua de trabalho

Portuguese

Objetivos

This course presents high level aspects of software development.

The concept of quality invites the introduction of tecniques for project management, model definition and valitation, software testing on several layers of abstraction, and the use of quantitative metrics, from the basic unit level to the complete feature and integration level.

Resultados de aprendizagem e competências

The student should:

• Understand fundamental software quality concepts;
• Understand and apply sofware revision techniques;
• Understand and apply Software Quality Assurance (SQA) techniques;
• Understand and apply an SQA plan;
• Recognize different software testing goals and environments;
• Build software tests;
• Understand and apply product metrics over the several phases of development.

Modo de trabalho

Presencial

Pré-requisitos (conhecimentos prévios) e co-requisitos (conhecimentos simultâneos)

Competences in software development models
Competences in different programming languages paradigms
Competences in software development using IDE (Integrated Development Environment)

Programa

The course follows the following structure:

1. Software quality fundamental concepts;


2. Software verification techniques;


3. Software quality assurance;


4. Software testing strategies;


5. Software Tests (Unit tests, System tests)


6. Product metrics.

Bibliografia Obrigatória

G. O'Regan; Introduction to Software Quality, Springer, 2014

Bibliografia Complementar

I. Sommerville; Software Engineering, Pearson, 2015
R. Pressman, M. Maxim; Software Engineering: A Practitioner’s Approach, McGraw Hill, 2020

Métodos de ensino e atividades de aprendizagem

Main lectures:

• The content is delivered with slide support, and is discussion is incentivized.

Laboratory sessions:

• Each laboratory or assignment is introduced, and any research required is highlighted;
• The individual work is also supervised by individual tutoring session.

 

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation	Peso (%)
Teste	35,00
Trabalho laboratorial	40,00
Trabalho escrito	12,50
Apresentação/discussão de um trabalho científico	12,50
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Estudo autónomo	46,50
Frequência das aulas	56,00
Trabalho de investigação	20,00
Trabalho laboratorial	40,00
Trabalho escrito	40,00
Total:	202,50

Obtenção de frequência

The attainment of the frequency requires the completion of 3 components:

- Written test (T)
- Laboratory Component (L) - Video + Tutorial
- Digital Portfolio Work (P)
- Oral Presentation (A)

The Laboratory Component is done in groups, the rest are made individually.

Fórmula de cálculo da classificação final

Item	Values	Minimum
P	2.5
A	2.5
T	7.0	3.0
L	4.0	1.5
TOTAL	20.0	9.5

Final Grade =  P + A + T + L

Avaliação especial (TE, DA, ...)

If the student does not pass the continuous assessment, he/she may choose one of the following options in the examination period.

1. Improve one (only one) of the assessment components in order to reach the minimum value of 9.5 points.


2. Take on the same day, an exam with a Theory component and a Laboratory component