This document contains slides from a Unit 7 PPT presentation on software engineering. It discusses metrics for processes and products, including software measurement and metrics for quality. It also covers risk management, identifying different types of risks, estimating risk impact, and developing a risk mitigation monitoring and management plan.
This lecture provides short and comprehensive view of software project and risk management. It has basic examples and calculations which is main concern of software project manager. This lecture helps to understand basics of risk management.
This lecture provides short and comprehensive view of software project and risk management. It has basic examples and calculations which is main concern of software project manager. This lecture helps to understand basics of risk management.
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A prescriptive process model is a model that describes "how to do" according to a certain software process system. ... Prescriptive models are used as guidelines or frameworks to organize and structure how software development activities should be performed, and in what order.
What is professional software development and definition of software engineering. Who is a software engineer. Difference between Computer Science and Systems Engineering
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)IrtazaAfzal3
A prescriptive process model is a model that describes "how to do" according to a certain software process system. ... Prescriptive models are used as guidelines or frameworks to organize and structure how software development activities should be performed, and in what order.
What is professional software development and definition of software engineering. Who is a software engineer. Difference between Computer Science and Systems Engineering
Episode 25 : Project Risk Management
Understand what risk is and the importance of good project risk management.
Discuss the elements involved in risk management planning and the contents of a risk management plan.
List common sources of risks in engineering and information technology projects.
Describe the risk identification process, tools, and techniques to help identify project risks, and the main output of risk identification, a risk register.
SAJJAD KHUDHUR ABBAS
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
Risk Mitigation, Monitoring and Management Plan (RMMM)Navjyotsinh Jadeja
Software Risk is an expectation of loss, a potential problem that may or may not occur in the future. It is generally caused due to lack of information, control or time.
RISK – Possible loss or problem (Specifically in S/W development process)
MITIGATION – Efforts or Process to overcome the Risks or reduce the impact. (Comes after Avoidance Scenario)
MONITORING – Check to ensure effective execution (Observation)
MANAGEMENT – The subtle are of dealing with the risk and keep moving forward
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
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Cheryl Hung, ochery.com
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
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Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
UiPath Test Automation using UiPath Test Suite series, part 4
Unit 7
1. Software Engineering
B.Tech IT/II Sem-II
Term: 2008-2009
Unit-7 PPT SLIDES
Text Books:1.Software Engineering, A practitioner’s approach
Roger s. Pressman 6th edition McGraw-
Hill
2.Software Engineering Somerville 7th edition
1
2. Unit 7 Syllabus
• Metrics for Process and Products : Software
Measurement, Metrics for software quality.
• Risk management : Reactive vs. Proactive Risk
strategies, software risks, Risk identification,
Risk projection, Risk refinement, RMMM, RMMM
Plan.
2
3. INDEX
Unit 7
S.No Topic Name Lecture No Slide No.
1. Metrics for process and product: Software L1 4
Measurement
2. Metrics for software quality L2 12
3. Risk Management: Reactive VS Proactive risk L3 14
4. Software Risk L4 16
5. Risk Identification L5 18
6. Risk Projection L5 20
7 Risk Refinement L6 24
7. Risk Mitigation Monitoring And Management L6 26
8. RMMM plan L7 29
3
4. Metrics for Process And Product
• Software Measurement:
Software measurement can be
categorized as
1)Direct Measure and
2)Indirect Measure
4
5. Metrics for Process And Product
• Direct Measurement
Direct measure of software process include
cost and effort
Direct measure of product include lines of code,
Execution speed, memory size, defects per
reporting time period.
• Indirect Measurement
Indirect measure examines the quality of
software product itself(e.g. :-functionality,
complexity, efficiency, reliability and
maintainability) 5
6. Reasons for measurement
1. To gain baseline for comparison with
future assessment
2. To determine status with respect to plan
3. To predict the size, cost and duration
estimate
4. To improve the product quality and
process improvement
6
7. Software Measurement
• The metrics in software Measurement are
Size oriented metrics
Function oriented metrics
Object oriented metrics
Web based application metric
7
8. Size Oriented Metrics
• It totally concerned with the measurement
of software.
• A software company maintains a simple
record for calculating the size of the
software.
• It includes LOC, Effort,$$,PP
document,Error,Defect ,People.
8
9. Function oriented metrics
• Measures the functionality derived by the
application
• The most widely used function oriented
metric is Function point
• Function point is independent of
programming language
• Measures functionality from user point of
view
9
10. Object oriented metric
• Relevant for object oriented programming
• Based on the following
Number of scenarios(Similar to use cases)
Number of key classes
Number of support classes
Number of average support class per key
class
Number of subsystem
10
11. Web based application metric
• Metrics related to web based application
measure the following
1.Number of static pages(NSP)
2.Number of dynamic pages(NDP)
Customization(C)=NSP/NSP+NDP
C should approach 1
11
12. Metrics for Software Quality
• Measuring Software Quality
1.Correctness=defects/KLOC
2.Maintainability=MTTC(Mean-time to
change)
3.Integrity=Sigma[1-(threat(1-security))]
Threat : Probability that an attack of
specific type will occur within a given time
Security : Probability that an attack of a
specific type will be repelled 12
13. Metrics for Software Quality
4. Usability: Ease of use
5. Defect Removal Efficiency(DRE)
DRE=E/(E+D)
E is the no. of errors found before
delivery and D is no. of defects reported
after delivery
Ideal value of DRE is 1
13
14. Risk Management
• Risk is an undesired event or circumstance that
occur while a project is underway
• It is necessary for the project manager to
anticipate and identify different risks that a
project may be susceptible to.
• Risk Management
It aims at reducing the impact of all kinds of risk
that may effect a project by identifying, analyzing
and managing them
14
15. Risk Management
Reactive Vs Proactive risk
Reactive :
It monitors the projects likely risk and
resources are set aside.
Proactive:
Risk are identified, their probability and
impact is accessed
15
16. Software Risk
• It involve 2 characteristics
1. Uncertainty : Risk may or may not happen
2. Loss : If risk is reality unwanted loss or
consequences will occur
• It includes
1)Project Risk
2)Technical Risk
3)Business Risk
4)Known Risk
5)Unpredictable Risk
6)Predictable Risk 16
17. Software Risk
• Project risk: Threaten the project plan and affect
schedule and resultant cost
• Technical risk: Threaten the quality and
timeliness of software to be produced
• Business risk: Threaten the viability of software
to be built
• Known risk: These risks can be recovered from
careful evaluation
• Predictable risk: Risks are identified by past
project experience
• Unpredictable risk: Risks that occur and may be
difficult to identify 17
18. Risk Identification
• It concerned with identification of risk
• Step1: Identify all possible risks
• Step2: Create item check list
• Step3: Categorize into risk components-
Performance risk, cost risk, support risk and
schedule risk
• Step4: Divide the risk into one of 4 categories
• Negligible-0
• Marginal-1
• Critical-2
• Catastrophic-3 18
19. Risk Identification
• Risk Identification includes
• Product size
• Business impact
• Development environment
• Process definition
• Customer characteristics
• Technology to be built
• Staff size and experience
19
20. Risk Projection
• Also called risk estimation
• It estimates the impact of risk on the
project and the product
• Estimation is done by using Risk Table
• Risk projection addresses risk in 2 ways
• Likelihood or probability that the risk is
real(Li)
• Consequences(Xi)
20
21. Risk Projection
• Steps in Risk projection
1. Estimate Li for each risk
2. Estimate the consequence Xi
3. Estimate the impact
4. Draw the risk table
5. Ignore the risk where the management concern
is low i.e., risk having impact high or low with low
probability of occurrence
6. Consider all risks where management concern is
high i.e., high impact with high or moderate
probability of occurrence or low impact with high
probability of occurrence 21
22. Risk Projection
Risk Category Probability Impact RMMM
Size estimate PS 60% 2
may be
significantly
low
Larger no. of PS 30% 3
users than
planned
Less reuse PS 70% 2
than planned
End user BU 40% 3
resist system
22
23. Risk Projection
• The impact of each risk is assessed by
Impact values
Catastrophic-1
Critical-2
Marginal-3
Negligible-4
23
24. Risk Refinement
• Also called Risk assessment
• Refines the risk table in reviewing the risk
impact based on the following three
factors
a.Nature: Likely problems if risk occurs
b.Scope: Just how serious is it?
c.Timing: When and how long
24
25. Risk Refinement
• It is based on Risk Elaboration
• Calculate Risk exposure RE=P*C
Where P is probability and C is cost of
project if risk occurs
25
26. Risk Mitigation Monitoring And
Management (RMMM)
• Its goal is to assist project team in
developing a strategy for dealing with risk
• There are three issues of RMMM
1)Risk Avoidance
2)Risk Monitoring and
3)Risk Management
26
27. Risk Mitigation Monitoring And
Management (RMMM)
• Risk Mitigation
Proactive planning for risk avoidance
• Risk Monitoring
- Assessing whether predicted risk occur or not
- Ensuring risk aversion steps are being properly
applied
- Collection of information for future risk analysis
- Determine which risks caused which problems
27
28. Risk Mitigation Monitoring And
Management (RMMM)
• Risk Management
- Contingency planning
- Actions to be taken in the event that
mitigation steps have failed and the risk
has become a live problem
- Devise RMMP(Risk Mitigation Monitoring
And Management Plan)
28
29. RMMM plan
• It documents all work performed as a part
of risk analysis.
• Each risk is documented individually by
using a Risk Information Sheet.
• RIS is maintained by using a database
system
29