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 expectation. Regular attendance is essential for
success in this course and its lab components. Attendance will be
be recorded throughout the semester via iClicker. Three or more unexcused
absences will result in a one-letter grade reduction in the
final course grade, reflected when grades are posted at the
end of the term.
Excused absence requests. Requests for excused absences must be
submitted in advance and approved by the instructor, except in
cases of emergency. For emergencies, notify the instructor as
soon as possible following the absence. Supporting documentation
must be included with the request.
Examples of excusable absences are listed below.
Responsibility for missed work.
Students who miss class without a valid excuse are responsible
for obtaining missed materials. 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 and course updates.
Late-work, makeup policy.
Late work will not be accepted under any circumstances. Make-up
options for labs, quizzes, and exams are unavailable except
in cases of excused and verified absences.
Exceptions will be made for
excusable absences.
Timing of make-up assessments.
Make-up quizzes and exams for excused absences must be completed
before the class session in which the quiz or exam content will
be reviewed or its answer key released. Make-up labs must be
completed within one week of the excused absence.
Make-up assessment integrity statement.
ff granted permission to take a quiz or exam at a later time
due to an officially excused absence, the student must affirm
the following: “I acknowledge that I have been granted
the opportunity to complete this assessment as a result of an
officially excused absence from its original administration. I
hereby affirm—without reservation—that I have not sought,
received, or accessed any information regarding the content,
structure, or subject matter of this quiz or exam from
any individual who previously completed it. This includes,
but is not limited to, verbal conversations, written notes,
online discussions, messaging apps, shared files, or any
other form of communication. I understand that violating
this pledge constitutes academic misconduct and will result
in immediate disciplinary action, including a failing grade
on the assessment and referral to the School of Engineering
disciplinary committees.”
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.
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:
Attendance, late work, and makeup policies
Examples of excusable absences include:
Common policies
Generative AI tools—such as ChatGPT, GitHub Copilot, Gemini ,
and others—can be valuable resources for learning. When used
appropriately, they may assist in brainstorming, exploring
ideas, and refining drafts. However, they must never
replace your own intellectual work.
These tools are akin to the writing center consultants, the EECS
programming tutors, and lab assistants: they can guide and support
but must not generate final submissions. Submitting
content primarily generated by AI is a violation of academic
integrity, comparable to submitting work completed
by someone else.
Unless explicitly permitted, all coursework must reflect
your original understanding, reasoning, and
expression. If you use AI tools at any stage of an
assignment, you are required to disclose that use via a brief
reflection, which must include:
LLM and generative AI tools
Failure to disclose use of AI tools or submitting AI-generated work as your own will be treated as academic misconduct. Minimum consequences include a zero on the assignment. Depending on severity, further penalties may include failure in the course and formal referral to the School of Engineering disciplinary committee.
This course is designed to build your skills—not evaluate the performance of generative tools. Authentic engagement with course challenges leads to meaningful growth. Overreliance on AI undermines both your learning and the integrity of our academic community.
Intellectual honesty is not optional—it defines your
identity as an engineer, a scholar, and a professional.
.
The University of Kansas, the School of Engineering, and the Department of Electrical Engineering & Computer Science (EECS) maintain a zero-tolerance policy toward academic dishonesty and misconduct. All students enrolled in this course are expected to uphold the highest standards of integrity and professionalism in their academic work.
Academic dishonesty includes, but is not limited to:
The minimum consequence for an academic integrity violation is a zero on the item in question (e.g., lab, assignment, quiz, or exam). Depending on severity, penalties may include a grade reduction, a failing grade for the course, and formal referral to the School of Engineering's disciplinary committee for further review and sanctions.
All definitions and procedures follow institutional policy and guidance outlined by the University of Kansas Office of Student Affairs and the EECS Department. Students are expected to be familiar with and adhere to these standards at all times.
Please also see KU's academic misconduct policy
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:
Code of student rights and responsibility: Code of Student Rights and Responsibilities
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."
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