EECS448: Software Engineering -- Fall 2022 (10794)
Tuesdays and Thursdays, 2:30 pm - 3:45 pm, Eaton 2
Teaching website: people.eecs.ku.edu/~saiedian/Teaching
M 01:00 - 02:50 PM EATN 1005C
Tu 09:00 - 10:50 AM EATN 1005C
W 09:00 - 10:50 AM EATN 1005C
W 02:00 - 03:50 PM EATN 1005A
Th 09:00 - 10:50 AM EATN 1005C
Th 12:00 - 01:50 PM EATN 1005A
F 02:00 - 03:50 PM EATN 1005C
Professor Hossein Saiedian
Office: Eaton Hall 3012
Telephone: 785-864-8812
E-Mail: saiedian AT ku.edu
WWW: people.eecs.ku.edu/~saiedian
Office Hours: Tuesdays and Thursdays, 1:00-2:00 PM (and by appointment)
Arnab Mukherjee (arnabmukherjee91 AT ku.edu)
Anjali Pare (anjali.pare AT ku.edu)
Liangqin Ren (liangqinren AT ku.edu)
This course is an introduction to software engineering, and it covers the systematic development of software products. It outlines the scope of software engineering, including life-cycle models, software process, teams, tools, testing, planning, and estimating. It concentrates on requirements, analysis, design, implementation, and maintenance of software products. The laboratory covers CASE tools, configuration control tools, UML diagrams, integrated development environments, and project specific components. Prerequisite: EECS 268 and upper-level EECS eligibility.
The course outcomes are as follows:
The first textbook is a required textbook and other textbooks are excellent references.
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Ian Sommerville Engineering Software Products: An Introduction to Modern Software Engineering, Pearson, 2020. |
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Martin Fowler UML Distilled: A Brief Guide to the Standard Object Modeling Language 3rd edition, Pearson, 2004. |
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Roger Pressman and Bruce Maxim Software Engineering: A Practitioner's Approach 9th edition, McGraw-Hill, 2020. |
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Ian Sommerville Software Engineering 10th edition, Pearson, 2016. |
Students are responsible for lecture notes, reading assignments, as well as items distributed during the classroom sessions. Important reading materials as well as lecture slides will be placed on the class website.
Lecture notes
Readings
Project resources
Students will be evaluated as follows:
Exams and quizzes: 50%
Term project: 30%
Homework labs: 20%
Grading scale:
A = 90%..100%
B = 80%..89%
C = 70%..79%
D = 60%..69%
Exams and quizzes will be closed book and notes and on Canvas. Always bring a device that allows you to connect to Canvas and take the exam or quiz. No other devices is to be used other than the device used for connecting to Canvas. No other app other than Canvas should be used.
All written work must be typeset and submitted on Canvas.
Term project. The term project will be team-based (teams of 4-6 individuals). The team project requirements will be discussed in-depth in class. The student teams will have to decide what computing platform and programming language to choose. The TAs will provide direction and support for the project artifacts or labs but are not expected to be expert on programming, programming languages, or computing platforms. Project code should be maintained on GitHub.
Technical problems. If you experience technical problems with your EECS account or the EECS servers or the lab equipment, please submit a support request help at: https://tsc.ku.edu/request-support-engineering-tsc.
Attendance. Attendance is important and required. Throughout the semester, attendance may randomly be taken; three absences or three zeros on lab assignments will result in a failing grade for the course. Furthermore, if a student misses a class session, he or she will be entirely responsible for learning the materials missed without the benefit of a private lecture on the instructor's part. Furthermore, the student will be responsible for finding out what assignments may have been given and when they are due, any updates to the project, schedule or the course syllabus.
Week 1: August 23 and August 25
Overview of the course
Striving for Successful Team (Intro to Git and GitHub)
Software Life Cycle
All lecture notes (slides) are on Canvas
Week 2: August 30 and September 1
Software Development Models
Chapter 1: Sofftware Products
Chapter 2: Agile Software Engineering
Agile Software Development
Lab 1: Git and GitHub
[Check out Github's education pack]
All lecture notes (slides) are on Canvas
Week 3: September 6 and September 8
Agile Development (lecture notes)
Chapter 2: Agile Software Engineering
Minimal Product (Project) Management
Domain Engineering
Requirements Engineering
Project part 1: Team profiles
All lecture notes (slides) are on Canvas
Week 4: September 13 and September 15
Why Modeling
Modeling with UML
UML Use Case Modeling
Chapter 3: Features, Scenarios, and Stories
Project: Vision statement
All lecture notes (slides) are on Canvas
Week 5: September 20 and September 22
UML class modeling
UML state transition modeling (will be covered at later time)
Thursday September 22: Exam 1
Lab: Use case modeling
All lecture notes (slides) are on Canvas
Week 6: September 27 and September 29
More on UML class modeling
From requirements to design: architectural selection
All lecture notes (slides) are on Canvas
Week 7: October 4 and October 6
Chapter 4: Software Architecture
Week 8: October 11 and October 13
Tuesday October 11: No class (last day of fall break)
The SDLC revisited: The Unified ProcessAll lecture notes (slides) are on Canvas
Week 9: October 18 and October 20
Detailed-design concepts: Modular design, object-oriented design,
design patterns
Thursday October 20: Exam 2
All lecture notes (slides) are on Canvas
Week 10: October 25 and October 27
Detailed-design concepts: Modular design, object-oriented design,
design patterns
Concepts related to writing programs (documentation, self-describing programs, coding conventions, pre- and post-conditions, interpreters vs compiled programs, the compilation process, "make" and "git")
All lecture notes (slides) are on Canvas
Week 11: November 1 and November 3
Chapter 5. Cloud-based Software
Chapter 6. Microservices Architecture
All lecture notes (slides) are on Canvas
Week 12: November 8 and November 10
Software quality assurance
Chapter 9. Software Testing
Testing coverage criteria
Black box test case generation techniques
All lecture notes (slides) are on Canvas
Week 13: November 15 November 17
White box test case generation techniques (continued)
Chapter 9. Software Testing
All lecture notes (slides) are on Canvas
Week 14: November 22 and November 24
Examples of code-based testingThursday November 24: No class (Thanksgiving break)
All lecture notes (slides) are on Canvas
Week 15: November 29 and December 1
Chapter 8. Reliable Programming
Chapter 7. Security and Privacy
All lecture notes (slides) are on Canvas
Week 16: December 5 and December 7
UML revisited: modeling behavioral properties
Chapter 10. DevOp and Code Management
Emerging trends in software engineering
All lecture notes (slides) are on Canvas
Week 17: December 12
Comprehensive final December 14 1:30-4:00 pm
Attendance.
Regular attendance is essential for success in this course
and its labs. Attendance may be taken throughout the
semester. Three or more unexcused absences will result in a
one-letter grade reduction in the final course grade, which will
be reflected when grades are posted at the end of the semester.
Students who miss class without a valid excuse are responsible
for obtaining missed materials and assignments. The instructor or the TAs
will not provide individual makeup lectures or one-on-one
instruction. It is the student's responsibility to stay informed
about course content, assignments, and course updates.
Late-work, makeup policy.
Late work will not be accepted. Make-up options for labs,
quizzes, or exams are not available.
Exceptions will be made for
excusable absences.
Requests for excused absences must be submitted in advance and
approved by the instructor, except in emergencies. In such
cases, notify the instructor as soon as possible after the
absence. Please attach verification documents to the request.
Make-up quizzes and exams for excused absences must
be completed before the following session when the quiz/exam
content will be discussed in classroom or its key becomes
public. Make-up for an excused lab absence should be
completed within one week.
Technical problems. If you experience technical problems
with your EECS account or the EECS servers or the lab
equipment, please submit a support request help at:
https://tsc.ku.edu/request-support-engineering-tsc.
Inside classroom policy.
Students are expected to come to the class on time, be
attentive and engaged, conduct themselves professionally, and
avoid anything that could cause a distraction or detrimental
either for other students learning or for the instructor's
presentations. Profanity and swearing is not allowed.
Students are expected to actively participate in all classroom
presentations and discussions, ask questions, and regularly
make contributions such as offering comments, responding with
good answers, and providing feedback.
Canvas announcements.
Announcements is a Canvas tool to post important
information and updates to all members of a course. It is your
responsibility to regularly check your Canvas account for such
announcements (students may also receive an email notification
when a new announcement is posted).
Email communications
E-mail communication is fast, flexible, and effective. You have an
@ku.edu email account and you are expected to regularly check
it. Important information may also be communicated via email.
You are a student registered in a course offered by
the School of Engineering at the University of Kansas, a top regional
and a nationally ranked institution. Your communications, especially
written communications (composition, grammar, spelling, punctuation,
etc), should reflect that status.
Please follow these email guidelines and etiquettes.
Send text-only emails in text-only format. All classroom
assignments, labs, or projects should be typeset and submitted
on Canvas.
Other documents (e.g., documents for an excusable
absence) shoud be emailed in PDF or a well-known image format (e.g.,
JPG or PNG). See the Guidelines for submitting electronic documents.
Grade and absence clarification or correction.
If you believe your grades on an assignment, lab, quiz, or
exam are incorrect, you should formally submit a grade appeal
via email to the instructor within one week of receiving the
graded work. Similarly, if you have an excusable absence, and
you did not provide documentation prior to the absence, submit
relevant documentation within one week of the absence. Failure
to address concerns within these timeframes will result in
the decision becoming final. This timeline ensures timely
resolution and fairness for all parties involved.
Late exam-taking policy. If a
student will have to take an exam or a quiz at a later time
(due to an excused and verified absence), he or she
will be asked to make the following statement:
I understand that I have been granted the opportunity to take
this exam or quiz on [date of rescheduled exam] due to an excused
absence from the original exam on [date of original exam]. In
making this arrangement, I affirm that I did not and will
not, by any means (in writing, speaking, or through digital
communications), obtain any information about the exam content
or details from anyone who has taken it at the original time. I
understand that violating this pledge may result in disciplinary
action, including receiving a failing grade on the exam.
Cell phone policy. Cell phones
should be turned off before coming to the classroom.
Cell phone use for the purposes of texting, email
or other social media should be avoided. Earphones
for music are OK during lab work or individualized
problem solving, as long as the volume allows you to
hear announcements. Also cell phone or other cameras
may be used to photograph projects and the whiteboard
but avoid shots that include the presenter or other students. Laptop/electronic device policy. The use of laptops,
tablets or similar devices is common for taking notes
but turn off audio and avoid any possible uses
that could cause distraction for others
(e.g., Web surfing or social media visits).
Incomplete grade policy. "Incomplete
(I) grades are used to note, temporarily, that students
have been unable to complete a portion of the required
course work during that semester due to circumstances
beyond their control. Incomplete work must be completed
and assigned an A-F or S/U grade within the time
period prescribed by the course instructor. After
one calendar year from the original grade due date,
an Incomplete (I) grade will automatically convert
to a grade of F or U, or the lapsed grade assigned by
the course instructor."
Also please review change of grade policy
here and
here.
Accommodations for students with disabilities.
The University of Kansas is committed to providing
equal opportunity for participation in all programs,
services and activities. Requests for special
accommodations may be made thru the
KU Student Access Services.
The Provost's freedom of expression statement .
"Our IRISE values will guide us and our students as we all
engage with each other in respectful freedom of expression.
In a setting as diverse as KU, we will inevitably encounter
ideas, opinions and philosophies that are different than
our own and which some personally find uncomfortable or
offensive. To be clear, threats, incitement of violence and
targeted harassment are not protected speech under the First
Amendment. Offensive speech, although it can be painful, is
generally considered protected speech. We need to strongly
encourage and facilitate civil and respectful discussion and
interaction. We simply must not inhibit or penalize expression
protected by the First Amendment."
KU's diversity policy statement.
"As a premier international research university, the University of
Kansas is committed to an open, diverse and inclusive learning
and working environment that nurtures the growth and development
of all. KU holds steadfast in the belief that an array of
values, interests, experiences, and intellectual and cultural
viewpoints enrich learning and our workplace. The promotion
of and support for a diverse and inclusive community of mutual
respect require the engagement of the entire university..."
Please also see:
KU's statement on diversity and inclusion.
KU's nondiscrimination, equal opportunity.
"The University of Kansas prohibits discrimination on the
basis of race, color, ethnicity, religion, sex, national
origin, age, ancestry, disability, status as a veteran,
sexual orientation, marital status, parental status, gender
identity, gender expression, and genetic information in the
University's programs and activities."
Please also see:
KU's statement on nondiscrimination and on
racial and ethnic harassment policy.
KU's sexual harassment policy.
"The University of Kansas prohibits sexual harassment and
is committed to preventing, correcting, and disciplining
incidents of unlawful harassment, including sexual harassment
and sexual assault."
Please also see
KU's statement on sexual harassment.
KU's mandatory reporter statement.
"The University of Kansas has decided that all employees, with
few exceptions, are responsible employees or mandatory reporters
who must report incidents of discrimination, harassment, and
sexual violence that they learn of in their employment at KU
to the Office of Civil Rights and Title IX. This includes
faculty members. As such, if you share information about
discrimination, harassment, or sexual violence with me, I
will have to relay that information to the Office of Civil
Rights and Title IX. I truly value your trust in me to share
that information and I want to be upfront about my requirement
as a mandatory reporter. If you are interested in contacting
KU’s confidential resources (those who do not have to make
disclosures to OCRTIX), there are: the Care Coordinator,
Melissa Foree; CAPS therapists; Watkins Health Care Providers;
and the Ombuds Office."
Please see
KU's statement on mandatory reporting.
KU's commercial note-taking ventures.
"Pursuant to the University of Kansas’ Policy on Commercial
Note-Taking Ventures, commercial note-taking is not permitted
in this course. Lecture notes and course
materials may be taken for personal use, for the purpose of
mastering the course material, and may not be sold to any person
or entity in any form. Any student engaged in or contributing
to the commercial exchange of notes or course materials will be
subject to discipline, including academic misconduct charges,
in accordance with University policy. Please note: note-taking
provided by a student volunteer for a student with a disability,
as a reasonable accommodation under the ADA, is not the same
as commercial note-taking and is not covered under this policy."
Please see
KU's statement on commercial note-taking.
Concealed handguns.
"Individuals who choose to carry concealed handguns are solely responsible to do
so in a safe and secure manner in strict conformity with state and federal laws
and KU weapons policy. Safety measures outlined in the KU weapons policy
specify that a concealed handgun:
Common policies
Examples of excusable absences include:
Generative AI tools like ChatGPT can be powerful resources
for learning. They can aid in brainstorming, research, and
writing. However, it's crucial to use these tools ethically
and responsibly.
Think of generative AI as a sophisticated lab tutor or writing
center consultant. These tools can offer valuable support, but
they cannot replace your own intellectual work. Submitting work
generated primarily by AI is considered academic misconduct,
similar to having someone else write your paper or code your
program.
All assignments in this course require your original thought
and effort. You are expected to demonstrate your learning by
completing assignments independently. While you may use AI
tools as a resource, the final product must be your own work.
To clarify expectations and foster transparency, you
will be asked to reflect on your use of AI tools for each
assignment. These reflections should detail how AI assisted
you, the challenges you encountered, and how you overcame
them. This process will help you develop critical thinking
and problem-solving skills.
Remember: The goal of this course is to develop your
abilities. Relying too heavily on AI can hinder your
intellectual growth. By engaging with the challenges of the
course and learning from your experiences, you will build a
strong foundation for success.
The University of Kansas, the School of Engineering, and
in particular, the Department of Electrical Engineering &
Computer Science (EECS) have zero tolerance for academic
dishonesty and academic misconduct.
The institutional definitions and consequences of institutional
academic integrity policies will used. Academic dishonesty
includes any form of plagiarism (cheating) as well as "giving
or receiving of unauthorized aid on examinations or in the
preparation of assignments or reports, knowingly misrepresenting
the source of any academic work, falsification of research
results, and plagiarizing of another's work." An absolutely
minimum consequence of an academic integrity violation will be
a zero for the item in question (e.g., a lab, an assignment,
an exam or quiz), but depending on the severity, the consequence
may be a lower grade, or simply an F for the
course, and the case may be forwarded to the SoE committee
for additional penalties and disciplinary measures.
LMS features.
During exams or quizzes, only one device should be used,
with solely the Canvas app or a single browser tab for Canvas
open. Having any other app or file open will be considered a
violation of academic integrity.
To further facilitate academic integrity, the following features
of Canvas will be utilized:
KU's academic misconduct policy: https://policy.ku.edu/governance/USRR#art2sect6
Code of student rights and responsibility: Code of Student Rights and Responsibilities
The ACM's and IEEE's code of ethics. As IT and computing
professionals and/or as engineers, you should be familiar with
the ACM's (IT, computing) and IEEE (engineering) codes of
ethics and apply them during your academic and professional
careers. These are lifelong commitments to integrity and
professional conduct.
We will review these during the first class session, but you
are strongly encouraged to review these codes in detail:
From the ACM's preamble: Computing professionals' actions
change the world. To act responsibly, they should reflect upon
the wider impacts of their work, consistently supporting the
public good. The ACM Code of Ethics and Professional Conduct
("the Code") expresses the conscience of the profession.
From the IEEE's preamble: We, the members of the IEEE, in
recognition of the importance of our technologies in affecting
the quality of life throughout the world, and in accepting
a personal obligation to our profession, its members and the
communities we serve, do hereby commit ourselves to the highest
ethical and professional conduct and agree.
The School of Engineering Statement on EdTech.
"With the switch to online teaching as a result of the
Coronavirus pandemic, professors and instructors at the
KU School of Engineering are aware that some students are
actively posting assignments, laboratory, and exam questions
and responses to EdTech services (e.g., Chegg) even during
exam time frames.
Keep in mind that when a person signs up to participate by
either uploading, and/or downloading, and/or using posted
material from these sites, the “terms of service” that are
agreed to do not protect the person when KU and/or the School
of Engineering decide to conduct investigations related to
academic misconduct (e.g., plagiarism and/or cheating).
In fact, EdTech services, like Chegg, retain contact information
of students who use their services and will release that
information, which is traceable, upon request. Using these
services constitutes academic misconduct, which is not tolerated
in the School of Engineering. It violates Article 3r, Section
6 of its Rules & Regulations, and may lead to grades of F
in compromised course(s), transcript citations of academic
misconduct, and expulsion from the University of Kansas.
If unsure about assignments, it is important that students use
the allowable available resources, such as instructor office
hours, graduate teaching assistants, and/or tutoring. The School
of Engineering wants students to be successful; cheating is
not the way to attain that success."
KU's policy on academic misconduct
LLM and generative AI tools
Academic integrity
Additional important links:
Professor Hossein Saiedian
Electrical Engineering & Computer Science
Eaton Hall 3012
University of Kansas
1520 W 15th St
Lawrence, KS 66045-7621
+1 785 864-8812
saiedian at eecs.ku.edu