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Percorso della pagina
  1. Science
  2. Master Degree
  3. Informatica [F1802Q - F1801Q]
  4. Courses
  5. A.A. 2024-2025
  6. 1st year
  1. Software Quality (blended)
  2. Summary
Insegnamento Course full name
Software Quality (blended)
Course ID number
2425-1-F1801Q115
Course summary SYLLABUS

Course Syllabus

  • Italiano ‎(it)‎
  • English ‎(en)‎
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Obiettivi

Il corso approfondisce le conoscenze necessarie per comprendere a fondo principi, tecniche e organizzazione del processo di qualità, elementi di base della formazione di test designer, quality manager e project manager.

Al termine del corso, lo studente sarà in grado di definire e implementare un piano di qualità per progetti software complessi e avrà le conoscenze che caratterizzano un buon quality e project manager.

Dopo il corso lo studente sarà in grado di definire, controllare ed eseguire un piano di qualità per progetti software complessi

Contenuti sintetici

  • Fundamentals of Test and Analysis
  • Software Qualities
  • Basic Principles
  • Dependence and Data Flow Models
  • Symbolic Execution and Proof of Properties
  • Test Case Selection and Adequacy
  • Functional Testing
  • Data Flow Testing
  • Model-Based Testing
  • Fault-Based Testing
  • Test Execution
  • Scaffolding
  • Test Oracles
  • Program Analysis
  • The Quality Process
  • Monitoring the Process
  • Integration Testing
  • System Testing
  • Acceptance Testing
  • Regression Testing

Programma esteso

  • Fundamentals of Test and Analysis

  • Software Test and Analysis in a Nutshell

  • Engineering Processes and Verification

  • Software Qualities

  • Quality Goals

  • Dependability Properties

  • Validation and Verification

  • Degrees of Freedom

  • Basic Principles

  • Dependence and Data Flow Models

  • Data Flow Analysis

  • Classic Analyses

  • Interprocedural Analysis

  • Symbolic Execution and Proof of Properties

  • Symbolic State and Interpretation

  • Test Case Selection and Adequacy

  • Adequacy Criteria

  • Comparing Criteria

  • Functional Testing

  • Random versus Partition Testing Strategies

  • Data Flow Testing

  • Data Flow Testing Criteria

  • The Infeasibility Problem

  • Model-Based Testing

  • Deriving Test Cases from Finite State Machines

  • Testing Decision Structures

  • Deriving Test Cases from Control and Data Flow Graphs

  • Deriving Test Cases from Grammars

  • Fault-Based Testing

  • Mutation Analysis

  • Fault-Based Adequacy Criteria

  • Test Execution

  • From Test Case Specifications to Test Cases

  • Scaffolding

  • Generic versus Specific Scaffolding

  • Test Oracles

  • Self-Checks as Oracles

  • Capture and Replay

  • The Quality Process

  • Test and Analysis Plans

  • Monitoring the Process

  • Integration Testing

  • System Testing

  • Acceptance Testing

  • Regression Testing

Prerequisiti

programmazione, elementi di ingegneria del software.

Modalità didattica

blended eLearning: lezioni in aula, studio individuale, esercizi e questionari online, corretti dal docente e discussi in aula:

  • 16 ore lezioni in aula da 2 ore in modalità erogativa,
  • 16 ore di lezione in modalità interattiva in elearning
  • 20 ore di esercitazione in modalità interattiva in elearning

Il corso è offerto in lingua inglese.

Materiale didattico

materiale disponibile sulla piattaforma online:

  • libro: Mauro Pezzè and Michal Young, Software Testing and Analysis, process, principle and techniques, John Wiley 2007
  • articoli
  • slide
  • esercizi
  • questionari

Periodo di erogazione dell'insegnamento

secondo semestre

Modalità di verifica del profitto e valutazione

esercizi e questionari proposti online e prova orale
Esercizi e questionari concorrono con lo stesso peso alla determinazione del voto finale, la prova orale è volta a confermare il voto ottenuto con esercizi e questionari.

Orario di ricevimento

su appuntamento

Sustainable Development Goals

IMPRESE, INNOVAZIONE E INFRASTRUTTURE
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Aims

The course provides the knowledge necessary to understand principles, techniques and quality process, the basis for test designers, quality managers and project managers.

At the end of the course, the students will be able to define and implement a quality plan for complex software systems.

Contents

  • Fundamentals of Test and Analysis
  • Software Qualities
  • Basic Principles
  • Dependence and Data Flow Models
  • Symbolic Execution and Proof of Properties
  • Test Case Selection and Adequacy
  • Functional Testing
  • Data Flow Testing
  • Model-Based Testing
  • Fault-Based Testing
  • Test Execution
  • Scaffolding
  • Test Oracles
  • Program Analysis
  • The Quality Process
  • Monitoring the Process
  • Integration Testing
  • System Testing
  • Acceptance Testing
  • Regression Testing

Detailed program

  • Fundamentals of Test and Analysis

  • Software Test and Analysis in a Nutshell

  • Engineering Processes and Verification

  • Software Qualities

  • Quality Goals

  • Dependability Properties

  • Validation and Verification

  • Degrees of Freedom

  • Basic Principles

  • Dependence and Data Flow Models

  • Data Flow Analysis

  • Classic Analyses

  • Interprocedural Analysis

  • Symbolic Execution and Proof of Properties

  • Symbolic State and Interpretation

  • Test Case Selection and Adequacy

  • Adequacy Criteria

  • Comparing Criteria

  • Functional Testing

  • Random versus Partition Testing Strategies

  • Data Flow Testing

  • Data Flow Testing Criteria

  • The Infeasibility Problem

  • Model-Based Testing

  • Deriving Test Cases from Finite State Machines

  • Testing Decision Structures

  • Deriving Test Cases from Control and Data Flow Graphs

  • Deriving Test Cases from Grammars

  • Fault-Based Testing

  • Mutation Analysis

  • Fault-Based Adequacy Criteria

  • Test Execution

  • From Test Case Specifications to Test Cases

  • Scaffolding

  • Generic versus Specific Scaffolding

  • Test Oracles

  • Self-Checks as Oracles

  • Capture and Replay

  • The Quality Process

  • Test and Analysis Plans

  • Monitoring the Process

  • Integration Testing

  • System Testing

  • Acceptance Testing

  • Regression Testing

Prerequisites

programming, basis of software engineering

Teaching form

blended eLearning: lectures, individual study, online exercises and questionnaires discussed in class.:

  • 16 hours lectures in person in "didattica erogativa" mode
  • 16 hours in elearning in "didattica interattiva" mode
  • 20 hours on exercises in elearning in "didattica interattiva" mode

The course is offered in English.

Textbook and teaching resource

material available on the eLearning platform:

  • book: Mauro Pezzè and Michal Young, Software Testing and Analysis, process, principle and techniques, John Wiley 2007
  • papers
  • slides
  • exercises
  • questionnaires

Semester

second (spring) semester

Assessment method

online exercises and questionnaires and oral exam.

Exercises and questionnaires contribute to the final grade with the same weight. The oral exam amis to confirm the grade from exercises and questionnaires.

Office hours

on demand

Sustainable Development Goals

INDUSTRY, INNOVATION AND INFRASTRUCTURE
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Key information

Field of research
INF/01
ECTS
6
Term
Second semester
Activity type
Mandatory to be chosen
Course Length (Hours)
52
Degree Course Type
2-year Master Degreee
Language
Italian

Staff

    Teacher

  • Giovanni Denaro
    Giovanni Denaro
  • LG
    Luca Guglielmo
  • Mauro Pezzè
    Mauro Pezzè

Students' opinion

View previous A.Y. opinion

Bibliography

Find the books for this course in the Library

Enrolment methods

Manual enrolments
Self enrolment (Student)

Sustainable Development Goals

INDUSTRY, INNOVATION AND INFRASTRUCTURE - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
INDUSTRY, INNOVATION AND INFRASTRUCTURE

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