A replicated study on agile team velocity in story and function points
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Together with Delft University of Technology, Goverdson performed research on the backgrounds of two many used size metrics, Story Points and Function Points. Can both measurements be used together, or should you use one-of-both? Can Story Points and Function Points be compared? Learn all about it in this presentation, as presented at the 5th Workshop on Emerging Trends in Software Metrics (WETSoM 2014) in May 2014, in Hyderabad, India.
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Measuring Performance at Intuit A Value-Added Component in ERM Pr.docx
Measuring Performance at Intuit: A Value-Added Component in ERM Programs
ABC Organization is looking to improve on their Enterprise Risk Management (ERM) program. A board member saw Intuit’s ERM Performance Measurement Model case study. As with any ERM program, Intuit’s program has continued to evolve since 2009.
Intuit’s ERM program began with the company's practice of risk management on an ad hoc basis. When a problem occurred, team were formed to address the issue. When it was over, it was back to business as usual. In the late 2000’s, Intuit’s ERM program focused on building a sustainable risk management capability. The program provided leadership with current and emerging risks to help them make strategic decisions. Intuit built the program using a ERM maturity model to get the right foundation. It was realized that executive leadership needed to measure the performance of the program. So key risk indicators (KRIs) were used to understand the potential emerging risks and any trends that may impact current risks. Also, key performance indicators (KPIs) can help in understanding and manage current risks. By identifying these KRIs and KPIs in the, the case study reader should gain an understanding of the importance of and the need to incorporate these indicators.
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Create a PowerPoint® narration report of at least 20 slides based on your findings about this case study along with the message that is delivered based upon this case (not including the cover page and reference page). If you do not own a copy of Microsoft PowerPoint use a comparable slide software or Google Slides (free and accessible from Google.com). In the presentation, address the following from the Intuit ERM program:
· What represents the key performance indicators of the ERM program?
· What represents the key risk indicators of the ERM program?
· What improvements would you make?
· Does this represent an effective risk management program? If not, what is missing? (Support your response with details from the case study and properly cited references.)
· Would this program work for a publicly traded corporation of similar size?
· How important do you view alignment and accountability among a management team?
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Measurement And Validation
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Create a PowerPoint® narration report of at least 20 slides based on your findings about this case study along with the message that is delivered based upon this case (not including the cover page and reference page). If you do not own a copy of Microsoft PowerPoint use a comparable slide software or Google Slides (free and accessible from Google.com). In the presentation, address the following from the Intuit ERM program:
· What represents the key performance indicators of the ERM program?
· What represents the key risk indicators of the ERM program?
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· Does this represent an effective risk management program? If not, what is missing? (Support your response with details from the case study and properly cited references.)
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AN EMPIRICAL STUDY ON SOFTWARE TEST EFFORT ESTIMATION
It is well known that software development projects tend to be based on over-optimistic cost estimates. Better
knowledge about software cost estimation is necessary to improve realism in software development project bids and budgets.
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project. Another company that projected testing effort of 100 man-hour actually ended up in 120 man-hour at the end of
project causing 20 man-hour effort/cost overruns. Therefore, our study indicates that test effort closely follows the
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1a. PROBLEM 1Millar Company has the following cost rec.docx
1
a.
PROBLEM 1
Millar Company has the following cost records for May 2016
Indirect factory labor
$ 10,000
Advertising Expense
$ 8,000
Direct materials used
13,000
Depreciation, factory equipment
4,200
Work in process, 5/1/15
5,000
Direct labor
11,000
Work in process, 5/31/15
6,500
Maintenance, office equipment
2,000
Depreciation, office equipment
1,000
Indirect materials
1,200
Sales Commission
10,000
Office Manager Salary
4,000
Instructions
Prepare a cost of goods manufactured schedule for May 2016
MILLAR COMPANY
Cost of Goods Manufactured
Schedule For the Year Ended May 31, 2016
PROBLEM 2
Mottle Inc. fixed costs are expected to be $80,000 and variable costs are expected to be $20 per product. Sales price is $40 per product and targeted net income is $300,000
.
Instructions
a. Determine the required sales in units and dollars to break even.
b. Determine the required sales in units to achieve targeted net income of $300,000.
PROBLEM 3
Marvin Company estimates that annual manufacturing overhead costs will be $900,000. Estimated annual operating activity bases are: direct labor cost $450,000, direct labor hours 300,000, and machine hours 150,000.
a. Compute the predetermined overhead rate using (i) direct labor cost as the activity base (ii) direct labor hours as the activity base and (iii) machine hours as the activity base.
b. If Job 101 has 60,000 direct labor hours, compute the manufacturing overhead that it should be assigned using the predetermined overhead rate computed in question a. above.
c. If Job 102 has 20,000 machine hours, compute the manufacturing overhead that it should be assigned using the predetermined overhead rate computed in question a. above.
PROBLEM 4
Blake Johnson has the following cost and production data for the Mixing Department for December 2013
Cost data:
Beginning work in process inventory, December 1
Direct Materials $30,000
Conversion Cost $ 6,000
$36,000
Cost incurred during production in December
Direct Materials $390,000
Conversion costs $122,000
$512,000
Total Costs $548,000
Production data
Completed and transferred out 52,000
Ending work in process 8,000
Ending work in process was 100% complete as to materials and 25% complete as to conversion costs.
Instructions
(a) Compute the equivalent units for materials and conversion costs.
(b) Determine the unit cost for materials and conversion
Note: Can complete solutions in Excel and then paste in spaces below, or can type directly in spaces below.
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BUSINESS DECISION MAKING PROJECT 2 6
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Running head: DATA ANALYSIS PLAN
1
DATA ANALYSIS PLAN
6
Data Analysis Plan
Columbia Southern University
PUH 6301 Public Health Research
February 25, 2020
Data Analysis Plan
Checking for Data Accuracy
Data accuracy checking will incorporate various measures for efficacy. The first method will include using reliable data sources. The data sources are critical to successful data collection as well as further analysis. Therefore, I will ensure the credibility and reliability of the systems as well as personnel responsible for information and data generation. Another significant measure will be aligning the key parameters and factors. It entails analyzing and sifting through the features that contribute to data communication, by figuring out the most relevant parameters that are needed for the performance report of the specific operations or developing the feasibility (Cole & Trinh, 2017). Then, I will design a set of essential and basic parameters and formulate a plan for the data collection.
Equally, maintaining neutrality is essential for checking data accuracy since claims and exaggerations create a negative balance to data sets. Therefore, by ascertaining that data is neutral, it becomes easy to justify the completeness of data. Importantly, I will use computerized and automated programs. There is always room for more mistakes as well as a human error with the use of manual mechanisms during information recording and data entry (Cole & Trinh, 2017). Besides, there can be higher risks of inaccuracy and compromised data entries based on personal favors and biases that wholly affect data results and inferences, leading to loss of portability and efficacy of data accuracy and analysis. However, the data collection through automated and smart systems makes it easier for focusing on parameters and factors, while the system records accurate data and real-time in a perfect manner.
Level of Measurement
The important level of measurement for my research project is the nominal level of measurement. The measurement is essential to the research since it uses elements such as letters, words, numbers, and alpha-numeric (Ekinci, 2017). In the research, the hypothesis is establishing the difference in performance between private and public schools. Specifically, the hypothesis is “private schools perform better than public schools.” Therefore, one of the elements will be a comparison of performance by gender. In this case, female students will be classified as F and male students will be classified as M. The nominal level of measurement is equally essential in this research since it only possess the description of the character meaning the unique label for identifying values to subjects. In this case, it is used to identify male and female students and utilizes a one-on-one correlation between the objects and letters assigned. Therefore, the letters are merely for identifying the gender of the students and not their capabilities in the learning .
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Argument Papers (5-7 pages in length)
1. Do schools perpetuate gender bias: Yes or No and why?
OR
2. Should contractual sex be legal?
OR
3. Same sex marriage vs marriage between a woman and a man: What types of marital unions should society sanction?
The argument paper should begin with a one-to-three-sentence statement of the main thesis. A thesis is an argument concerning an issue. It clearly states your position. Your argument paper should primarily present your beliefs related to the topic. It should include recent references from at least the text and an outside reading. The paper may also include material from other sources.
Argument paper demonstrates all components of critical thinking and analysis consistently. The thesis is explicit, clearly, and succinctly stated. Thesis is supported by at least 5 key points. Paper contains more than 7 reference citations, appropriate tables, charts and graphs. The paper is well organized, easy to read, and free of grammatical and syntax errors.
Status Report on
Software
Measurement
SHARI LAWRENCE PFLEEGER, Systems/Software and Howard University
ROSS JEFFERY, University of New South Wales
BILL CURTIS, TeraQuest Metrics
BARBARA KITCHENHAM, Keele University
The most successful
measurement programs
are ones in which
researcher, practitioner,
and customer work hand
in hand to meet goals
and solve problems. But
such collaboration is rare.
The authors explore the
gaps between these
groups and point toward
ways to bridge them.
n any scientific field, measurement generates quantita-
tive descriptions of key processes and products,
enabling us to understand behavior and result. This
enhanced understanding lets us select better tech-
niques and tools to control and improve our processes,
products, and resources. Because engineering involves
the analysis of measurements, software engineering cannot
become a true engineering discipline unless we build a solid
foundation of measurement-based theories.
One obstacle to building this base is the gap between measure-
ment research and measurement practice. This status report
describes the state of research, the state of the art, and the state of
practice of software measurement. It reflects discussion at the
Second International Software Metrics Symposium, which we
organized. The aim of the symposium is to encourage researchers
and practitioners to share their views, problems, and needs, and to
work together to define future activities that will address common
goals. Discussion at the symposium revealed that participants had
different and sometimes conflicting motivations.
I E E E S O F T W A R E 0 7 4 0 - 7 4 5 9 / 9 7 / $ 1 0 . 0 0 © 1 9 9 7 I E E E 3 3
I
.
♦ Researchers, many of whom are
in academic environments, are moti-
vated by publication. In many cases,
highly theoretical results are never
tested empirically, new metrics are
defined but never used, and new theo-
ries are promulgated but never exer-
cised and modified to fi ...
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PLEASE READ BACKGROUND INFO BELOW. TURNIT IN IS USEDModule 4 .docx
PLEASE READ BACKGROUND INFO BELOW. TURNIT IN IS USED
Module 4 - SLP
Strategy Implementation and Strategic Controls
Simulation
In Module 4, you will continue with the CVP analysis you completed in the Module 3 SLP.
Scenario Continuation:
It is still January 2, 2012.
You have just completed your revised SLP3 strategy using CVP analysis, and you are eager to implement your decisions for 2012 through 2014.
Using the CVP analysis from SLP3, run the simulation for a final time. Again, be sure to take notes about your analysis and the document the reasoning behind your decisions.
Finalize your report showing the strategy you have used.
Assignment Overview
Using the strategy that you developed in SLP3, run the simulation. Document your results as you did previously. Review and analyze these results, and develop a final strategy.
Please turn in a
6- to 8
-
page
paper, not including cover and reference pages.
Keys to the Assignment
The key aspects of this assignment that should be covered and taken into account in preparing your paper include:
The revised strategy consists of the Prices, R&D Allocation %, and any product discontinuations for the X5, X6, and X7 tablets for each of the four years: 2012, 2013, 2014, and 2015.
You must present a rational justification for this strategy. In other words, you must provide support for your proposed strategy using financial analysis and relevant theories.
Use the CVP Calculator and review the PowerPoint that explains CVP and provides some examples.
You will need to
crunch
some numbers (CVP Analysis) to help you determine your prices and R&D allocations.
Make sure your proposed changes in strategy are firmly based in this analysis of financial and market data and sound business principles.
Your goal is to practice using CVP and get better at it.
Present your analysis professionally, making strategic use of tables, charts, and graphs.
Time Line Summary:
SLP1
2015: Hired on December 15.
Turned in first report to CEO Smothers.
SLP2
You are returned – via Time Warp – to January 1, 2012.
You make decisions for 2012 – 2015.
December 31, 2015 – You have revised all four years, and you write up your summary report.
SLP3
Apparently, your SLP2 decisions were not “good enough,” as you’ve again been returned to January 1, 2012.
It is once again
January 1, 2012:
You decide to use CVP analysis to develop a revised four-year plan for your strategy. You analyze the results of your first decisions from SLP2, taking notes, and documenting your decision-making process. You use the CVP Calculator to help you develop your strategy. Your notes explaining the logic behind your decisions.
SLP4
It is still January 2, 2012. Using your CVP analysis from SLP3, you run the simulation, implementing your revised four-year plan. You keep track of your financial and marketing results year over year.
You submit your final
6-8 page
report, which includes your Final Total Score.
You compare – and report – your results with previous re.
Recommending Scientific Papers: Investigating the User Curriculum
In this paper, we propose a Personalized Paper Recommender System, a new user-paper based approach that takes into consideration the user academic curriculum vitae. To build the user profiles, we use a Brazilian academic platform called CV-Lattes. Furthermore, we examine some issues related to user profiling, such as (i) we define and compare different strategies to build and represent the user profiles, using terms and using concepts; (ii) we verify how much past information of a user is required to provide good recommendations; (iii) we compare our approaches with the state-of-art in paper recommendation using the CV-Lattes. To validate our strategies, we conduct a user study experiment involving 30 users in the Computer Science domain. Our results show that (i) our approaches outperform the state-of-art in CV-Lattes; (ii) concepts profiles are comparable with the terms profiles; (iii) analyzing the content of the past four years for terms profiles and five years for concepts profiles achieved the best results; and (iv) terms profiles provide better results but they are slower than concepts profiles, thus, if the system needs real time recommendations, concepts profiles are better.
Running head Measuring Performance .docx
Running head: Measuring Performance
1
Measuring Performance
2
Measuring Performance
Learning organizations make a difference in determining the way to go. Devolving a learning organization means short-term and long-term commitment. Acquiring and developing necessary resources requires time, energy, and effort. Maintaining and improving these resources also require continued effort. As the organization expands so must the learning. Ideally, learning will transpire before action. Business learning models will employ the need for a plan, strategic, vision, and strategy. The organization that models that does not carry these things through, sells the organization and the personnel short.
An organization in difficult financial times will cut the budget in training and development, usually at the top of the list. In reality, the opposite should be true; an organization that is struggling should be investing in training their people increasing organizational and individual performance. The financial problems of an organization do not normally occur in one or two areas. A thorough assessment is necessary to fully realize where the symptoms, problems, and results lie.
The reading this week addresses different methods for measuring performance. Viewing data and existing research will only provide a portion of the necessary information. Data collection comes through many forms. The use of qualitative and quantitative methods allows an objective approach to gathering insights about the organization. Performance measures are to be objective to retain clear and consistent processes in which to compare. Learning methods, like performance measuring should be clear and consistent while providing a best practices approach.
Understanding the workflow requires understanding processes organizationally down to the individual. Determining what is working and what could work better is an essential part of the process. Having a clear picture comprehensively will really contribute to an overall measure for improvement within the organization. It is vital to understand the roles of personnel and their processes within the organization. Not comprehending their approach can be compared to an auto assembly plant. In order for a car to be manufactured in the most efficient method, several ideas are experimented with and effectiveness results in the best practices. For example, front seats are typically added after the center console is bolted on. If the tracks to the seats are not tightened down before the console it could take 10 seconds longer per side to tighten down. The consoles are then added and tightened. After this process the seats are attached. You can see by this example that the process has an order. If the process is not followed, a backlog may occur. Understanding the flow is essential to a smoother operatio ...
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This document is a resume for Zeyu Xie that outlines his education and professional experience. He received a Master's degree in Financial Engineering from Claremont Graduate University and a Bachelor's degree in Actuarial Science and Applied Statistics from Purdue University. For professional experience, he has conducted research and analysis for insurance companies, universities, and an investment firm. His skills include programming languages, Bloomberg certification, and being fluent in Mandarin.
Module 8 presenter notes
The document discusses monitoring and evaluation (M&E) in development projects. It provides information on what M&E is, the purposes of M&E, the differences between monitoring and evaluation, and key M&E concepts like indicators, metrics, and M&E plans. Specifically, it defines monitoring as collecting routine data to track project performance over time, while evaluation measures how well objectives were achieved and the impact of the project. It also emphasizes that good indicators for M&E should be valid, reliable, precise, independent, timely, and comparable.
D0704014018
Extreme Programming (XP) is an agile methodology widely used for software development. However, XP is not as effective for medium and large projects due to weaknesses like poor documentation and lack of risk awareness. This paper reviews several studies on adapting XP for different project sizes through practices like extended planning, architecture design, and risk management. Case studies show the adapted XP approach can provide benefits to medium and large projects similar to what standard XP delivers for small projects.
Are we there yet? Rev up your productivity with project management tools
This document summarizes a pre-conference workshop on project management tools held at the CARL Conference on April 4, 2014. The schedule included an introduction to project management case studies, a discussion of project management theory and best practices, a workshop to plan a project using paper and pencils, and a software showroom and test drive of various project management software options. Speakers included representatives from California Maritime Academy, William Jessup University, and Golden Gate University.
Are we there yet? Rev up your productivity with project management tools
This document summarizes a pre-conference workshop on project management tools held at the CARL Conference on April 4, 2014. The schedule included an introduction to project management case studies, a discussion of project management theory and best practices, a workshop to plan a project using paper and pencils, and a software showroom and test drive of various project management software options. Speakers included representatives from California Maritime Academy, William Jessup University, and Golden Gate University.
Highlight OpenStack survey
This document presents a model for estimating development effort in free and open source software projects by mining data from version control systems. The model identifies full-time developers based on commit activity and assigns them one person-month of effort per month. A survey of over 100 OpenStack developers was used to validate the model. Analysis of the OpenStack project found the minimum error when developers with over 12 commits in 6 months were considered full-time, estimating a total effort of 9,000 person-months (750 person-years) since inception.
Analytics and Data as a Keystone Technology for Translation Companies, Doron ...
Analytics and Data as a Keystone Technology for Translation Companies, Doron ...TAUS - The Language Data Network
A 30min session that covered collecting data, tracking it and operationally using it to remove the need for a traditional agency structureLogic Model Workbook
The document is a workbook to help users develop logic models for their programs. It explains that a logic model is a tool that clarifies and depicts a program, showing the relationships between resources, activities, outputs and outcomes. The workbook provides guidance on developing each component of the logic model, including articulating the problem, goal, rationales, assumptions, resources, activities, outputs and outcomes. It emphasizes that a well-developed logic model can support program planning, management, communication, consensus building and fundraising.
General Tips to Fast-Track Your Quantitative Methodology
This document provides tips for fast-tracking a quantitative methodology dissertation, including establishing clear goals and communication with your committee, developing strong research questions and variables of interest, planning an appropriate data collection and analysis strategy using validated instruments and statistical software, and maintaining consistency throughout the process. Key recommendations include running a power analysis, using pre-existing surveys when possible, and having a detailed plan for addressing each research question and analyzing the data. Following these tips can help students efficiently complete the methodology chapter and overall dissertation.
socradar-q1-2024-aviation-industry-report.pdf
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Vitthal Shirke Java Microservices Resume.pdf
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
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Similar to A replicated study on agile team velocity in story and function points
1a. PROBLEM 1Millar Company has the following cost rec.docx
1
a.
PROBLEM 1
Millar Company has the following cost records for May 2016
Indirect factory labor
$ 10,000
Advertising Expense
$ 8,000
Direct materials used
13,000
Depreciation, factory equipment
4,200
Work in process, 5/1/15
5,000
Direct labor
11,000
Work in process, 5/31/15
6,500
Maintenance, office equipment
2,000
Depreciation, office equipment
1,000
Indirect materials
1,200
Sales Commission
10,000
Office Manager Salary
4,000
Instructions
Prepare a cost of goods manufactured schedule for May 2016
MILLAR COMPANY
Cost of Goods Manufactured
Schedule For the Year Ended May 31, 2016
PROBLEM 2
Mottle Inc. fixed costs are expected to be $80,000 and variable costs are expected to be $20 per product. Sales price is $40 per product and targeted net income is $300,000
.
Instructions
a. Determine the required sales in units and dollars to break even.
b. Determine the required sales in units to achieve targeted net income of $300,000.
PROBLEM 3
Marvin Company estimates that annual manufacturing overhead costs will be $900,000. Estimated annual operating activity bases are: direct labor cost $450,000, direct labor hours 300,000, and machine hours 150,000.
a. Compute the predetermined overhead rate using (i) direct labor cost as the activity base (ii) direct labor hours as the activity base and (iii) machine hours as the activity base.
b. If Job 101 has 60,000 direct labor hours, compute the manufacturing overhead that it should be assigned using the predetermined overhead rate computed in question a. above.
c. If Job 102 has 20,000 machine hours, compute the manufacturing overhead that it should be assigned using the predetermined overhead rate computed in question a. above.
PROBLEM 4
Blake Johnson has the following cost and production data for the Mixing Department for December 2013
Cost data:
Beginning work in process inventory, December 1
Direct Materials $30,000
Conversion Cost $ 6,000
$36,000
Cost incurred during production in December
Direct Materials $390,000
Conversion costs $122,000
$512,000
Total Costs $548,000
Production data
Completed and transferred out 52,000
Ending work in process 8,000
Ending work in process was 100% complete as to materials and 25% complete as to conversion costs.
Instructions
(a) Compute the equivalent units for materials and conversion costs.
(b) Determine the unit cost for materials and conversion
Note: Can complete solutions in Excel and then paste in spaces below, or can type directly in spaces below.
Running head: BUSINESS DECISION-MAKING PROJECT 2 1
BUSINESS DECISION MAKING PROJECT 2 6
Business Decision-Making Project 2
Trisha Shetler
QNT/ 275
Negussie Nega
December 12,2016
Identify the types of descriptive statistics that might be best for summarizing the data, if you were to collect a sample.
Cross-tabulations and contingen ...
Running head DATA ANALYSIS PLAN 1DATA ANALYSIS PLAN.docx
Running head: DATA ANALYSIS PLAN
1
DATA ANALYSIS PLAN
6
Data Analysis Plan
Columbia Southern University
PUH 6301 Public Health Research
February 25, 2020
Data Analysis Plan
Checking for Data Accuracy
Data accuracy checking will incorporate various measures for efficacy. The first method will include using reliable data sources. The data sources are critical to successful data collection as well as further analysis. Therefore, I will ensure the credibility and reliability of the systems as well as personnel responsible for information and data generation. Another significant measure will be aligning the key parameters and factors. It entails analyzing and sifting through the features that contribute to data communication, by figuring out the most relevant parameters that are needed for the performance report of the specific operations or developing the feasibility (Cole & Trinh, 2017). Then, I will design a set of essential and basic parameters and formulate a plan for the data collection.
Equally, maintaining neutrality is essential for checking data accuracy since claims and exaggerations create a negative balance to data sets. Therefore, by ascertaining that data is neutral, it becomes easy to justify the completeness of data. Importantly, I will use computerized and automated programs. There is always room for more mistakes as well as a human error with the use of manual mechanisms during information recording and data entry (Cole & Trinh, 2017). Besides, there can be higher risks of inaccuracy and compromised data entries based on personal favors and biases that wholly affect data results and inferences, leading to loss of portability and efficacy of data accuracy and analysis. However, the data collection through automated and smart systems makes it easier for focusing on parameters and factors, while the system records accurate data and real-time in a perfect manner.
Level of Measurement
The important level of measurement for my research project is the nominal level of measurement. The measurement is essential to the research since it uses elements such as letters, words, numbers, and alpha-numeric (Ekinci, 2017). In the research, the hypothesis is establishing the difference in performance between private and public schools. Specifically, the hypothesis is “private schools perform better than public schools.” Therefore, one of the elements will be a comparison of performance by gender. In this case, female students will be classified as F and male students will be classified as M. The nominal level of measurement is equally essential in this research since it only possess the description of the character meaning the unique label for identifying values to subjects. In this case, it is used to identify male and female students and utilizes a one-on-one correlation between the objects and letters assigned. Therefore, the letters are merely for identifying the gender of the students and not their capabilities in the learning .
Argument Papers (5-7 pages in length)1. Do schools perpe.docx
Argument Papers (5-7 pages in length)
1. Do schools perpetuate gender bias: Yes or No and why?
OR
2. Should contractual sex be legal?
OR
3. Same sex marriage vs marriage between a woman and a man: What types of marital unions should society sanction?
The argument paper should begin with a one-to-three-sentence statement of the main thesis. A thesis is an argument concerning an issue. It clearly states your position. Your argument paper should primarily present your beliefs related to the topic. It should include recent references from at least the text and an outside reading. The paper may also include material from other sources.
Argument paper demonstrates all components of critical thinking and analysis consistently. The thesis is explicit, clearly, and succinctly stated. Thesis is supported by at least 5 key points. Paper contains more than 7 reference citations, appropriate tables, charts and graphs. The paper is well organized, easy to read, and free of grammatical and syntax errors.
Status Report on
Software
Measurement
SHARI LAWRENCE PFLEEGER, Systems/Software and Howard University
ROSS JEFFERY, University of New South Wales
BILL CURTIS, TeraQuest Metrics
BARBARA KITCHENHAM, Keele University
The most successful
measurement programs
are ones in which
researcher, practitioner,
and customer work hand
in hand to meet goals
and solve problems. But
such collaboration is rare.
The authors explore the
gaps between these
groups and point toward
ways to bridge them.
n any scientific field, measurement generates quantita-
tive descriptions of key processes and products,
enabling us to understand behavior and result. This
enhanced understanding lets us select better tech-
niques and tools to control and improve our processes,
products, and resources. Because engineering involves
the analysis of measurements, software engineering cannot
become a true engineering discipline unless we build a solid
foundation of measurement-based theories.
One obstacle to building this base is the gap between measure-
ment research and measurement practice. This status report
describes the state of research, the state of the art, and the state of
practice of software measurement. It reflects discussion at the
Second International Software Metrics Symposium, which we
organized. The aim of the symposium is to encourage researchers
and practitioners to share their views, problems, and needs, and to
work together to define future activities that will address common
goals. Discussion at the symposium revealed that participants had
different and sometimes conflicting motivations.
I E E E S O F T W A R E 0 7 4 0 - 7 4 5 9 / 9 7 / $ 1 0 . 0 0 © 1 9 9 7 I E E E 3 3
I
.
♦ Researchers, many of whom are
in academic environments, are moti-
vated by publication. In many cases,
highly theoretical results are never
tested empirically, new metrics are
defined but never used, and new theo-
ries are promulgated but never exer-
cised and modified to fi ...
How Can I Use SNAP to Improve My Estimation Practices?
This report focuses on how to improve estimation practices by incorporating the Software Nonfunctional Assessment Process (SNAP).
Agile Estimation & Capacity Planning
This presentation includes an overview of the various estimation techniques used in Agile projects. I've also put in a slide for explaining the importance of business value for Agile requirements. A simple mechanism on capacity planning before weaving it all together to come up with a reasonably foolproof plan.
A GROUNDED THEORY OF THE REQUIREMENTS ENGINEERING PROCESS
This paper explores the requirements engineering (RE) process by conducting interviews with RE professionals and applying grounded theory to determine whether a theory of RE emerges. Analysis of the interviews revealed prominent data patterns that were used to model the RE process. The model depicts the RE process as one of establishing a match through discovery and streamlining, and which utilizes corrective measures in order to manage threats to establishing a match. The process involves many entities but is mainly conducted by RE professionals whose experience plays a major role in extracting complete requirements and detecting occasions of mismatch between customer needs and the software requirements, which represent their main concern during the process.
Top down
This document describes a study that examined the differences between top-down and bottom-up expert estimation strategies for software development effort. Seven estimation teams estimated the effort for two software projects, one using a top-down strategy and one using a bottom-up strategy. The study found that bottom-up estimation led to more accurate estimates than top-down estimation. Specifically, bottom-up estimates had a lower average magnitude of relative error than top-down estimates. Additionally, the recall of very similar past projects seemed necessary for accurate top-down estimates, suggesting bottom-up should be used unless experience with very similar projects exists.
The Use of Story Point and Sprint Report in Agile Project Methodology.pdf
Story points are used in agile project management to provide a relative estimation of the complexity, effort, and size of tasks. During sprint planning, teams assign story points to backlog items based on their complexity through discussion and consensus. Story points help teams prioritize tasks, plan sprints effectively, and generate sprint reports that provide insights into productivity and project progress. While alternatives like time estimates and task counts exist, story points are preferred as they account for inherent uncertainties and complexities in software development.
PLEASE READ BACKGROUND INFO BELOW. TURNIT IN IS USEDModule 4 .docx
PLEASE READ BACKGROUND INFO BELOW. TURNIT IN IS USED
Module 4 - SLP
Strategy Implementation and Strategic Controls
Simulation
In Module 4, you will continue with the CVP analysis you completed in the Module 3 SLP.
Scenario Continuation:
It is still January 2, 2012.
You have just completed your revised SLP3 strategy using CVP analysis, and you are eager to implement your decisions for 2012 through 2014.
Using the CVP analysis from SLP3, run the simulation for a final time. Again, be sure to take notes about your analysis and the document the reasoning behind your decisions.
Finalize your report showing the strategy you have used.
Assignment Overview
Using the strategy that you developed in SLP3, run the simulation. Document your results as you did previously. Review and analyze these results, and develop a final strategy.
Please turn in a
6- to 8
-
page
paper, not including cover and reference pages.
Keys to the Assignment
The key aspects of this assignment that should be covered and taken into account in preparing your paper include:
The revised strategy consists of the Prices, R&D Allocation %, and any product discontinuations for the X5, X6, and X7 tablets for each of the four years: 2012, 2013, 2014, and 2015.
You must present a rational justification for this strategy. In other words, you must provide support for your proposed strategy using financial analysis and relevant theories.
Use the CVP Calculator and review the PowerPoint that explains CVP and provides some examples.
You will need to
crunch
some numbers (CVP Analysis) to help you determine your prices and R&D allocations.
Make sure your proposed changes in strategy are firmly based in this analysis of financial and market data and sound business principles.
Your goal is to practice using CVP and get better at it.
Present your analysis professionally, making strategic use of tables, charts, and graphs.
Time Line Summary:
SLP1
2015: Hired on December 15.
Turned in first report to CEO Smothers.
SLP2
You are returned – via Time Warp – to January 1, 2012.
You make decisions for 2012 – 2015.
December 31, 2015 – You have revised all four years, and you write up your summary report.
SLP3
Apparently, your SLP2 decisions were not “good enough,” as you’ve again been returned to January 1, 2012.
It is once again
January 1, 2012:
You decide to use CVP analysis to develop a revised four-year plan for your strategy. You analyze the results of your first decisions from SLP2, taking notes, and documenting your decision-making process. You use the CVP Calculator to help you develop your strategy. Your notes explaining the logic behind your decisions.
SLP4
It is still January 2, 2012. Using your CVP analysis from SLP3, you run the simulation, implementing your revised four-year plan. You keep track of your financial and marketing results year over year.
You submit your final
6-8 page
report, which includes your Final Total Score.
You compare – and report – your results with previous re.
Recommending Scientific Papers: Investigating the User Curriculum
In this paper, we propose a Personalized Paper Recommender System, a new user-paper based approach that takes into consideration the user academic curriculum vitae. To build the user profiles, we use a Brazilian academic platform called CV-Lattes. Furthermore, we examine some issues related to user profiling, such as (i) we define and compare different strategies to build and represent the user profiles, using terms and using concepts; (ii) we verify how much past information of a user is required to provide good recommendations; (iii) we compare our approaches with the state-of-art in paper recommendation using the CV-Lattes. To validate our strategies, we conduct a user study experiment involving 30 users in the Computer Science domain. Our results show that (i) our approaches outperform the state-of-art in CV-Lattes; (ii) concepts profiles are comparable with the terms profiles; (iii) analyzing the content of the past four years for terms profiles and five years for concepts profiles achieved the best results; and (iv) terms profiles provide better results but they are slower than concepts profiles, thus, if the system needs real time recommendations, concepts profiles are better.
Running head Measuring Performance .docx
Running head: Measuring Performance
1
Measuring Performance
2
Measuring Performance
Learning organizations make a difference in determining the way to go. Devolving a learning organization means short-term and long-term commitment. Acquiring and developing necessary resources requires time, energy, and effort. Maintaining and improving these resources also require continued effort. As the organization expands so must the learning. Ideally, learning will transpire before action. Business learning models will employ the need for a plan, strategic, vision, and strategy. The organization that models that does not carry these things through, sells the organization and the personnel short.
An organization in difficult financial times will cut the budget in training and development, usually at the top of the list. In reality, the opposite should be true; an organization that is struggling should be investing in training their people increasing organizational and individual performance. The financial problems of an organization do not normally occur in one or two areas. A thorough assessment is necessary to fully realize where the symptoms, problems, and results lie.
The reading this week addresses different methods for measuring performance. Viewing data and existing research will only provide a portion of the necessary information. Data collection comes through many forms. The use of qualitative and quantitative methods allows an objective approach to gathering insights about the organization. Performance measures are to be objective to retain clear and consistent processes in which to compare. Learning methods, like performance measuring should be clear and consistent while providing a best practices approach.
Understanding the workflow requires understanding processes organizationally down to the individual. Determining what is working and what could work better is an essential part of the process. Having a clear picture comprehensively will really contribute to an overall measure for improvement within the organization. It is vital to understand the roles of personnel and their processes within the organization. Not comprehending their approach can be compared to an auto assembly plant. In order for a car to be manufactured in the most efficient method, several ideas are experimented with and effectiveness results in the best practices. For example, front seats are typically added after the center console is bolted on. If the tracks to the seats are not tightened down before the console it could take 10 seconds longer per side to tighten down. The consoles are then added and tightened. After this process the seats are attached. You can see by this example that the process has an order. If the process is not followed, a backlog may occur. Understanding the flow is essential to a smoother operatio ...
RESUME_ZEYU XIE
This document is a resume for Zeyu Xie that outlines his education and professional experience. He received a Master's degree in Financial Engineering from Claremont Graduate University and a Bachelor's degree in Actuarial Science and Applied Statistics from Purdue University. For professional experience, he has conducted research and analysis for insurance companies, universities, and an investment firm. His skills include programming languages, Bloomberg certification, and being fluent in Mandarin.
Module 8 presenter notes
The document discusses monitoring and evaluation (M&E) in development projects. It provides information on what M&E is, the purposes of M&E, the differences between monitoring and evaluation, and key M&E concepts like indicators, metrics, and M&E plans. Specifically, it defines monitoring as collecting routine data to track project performance over time, while evaluation measures how well objectives were achieved and the impact of the project. It also emphasizes that good indicators for M&E should be valid, reliable, precise, independent, timely, and comparable.
D0704014018
Extreme Programming (XP) is an agile methodology widely used for software development. However, XP is not as effective for medium and large projects due to weaknesses like poor documentation and lack of risk awareness. This paper reviews several studies on adapting XP for different project sizes through practices like extended planning, architecture design, and risk management. Case studies show the adapted XP approach can provide benefits to medium and large projects similar to what standard XP delivers for small projects.
Are we there yet? Rev up your productivity with project management tools
This document summarizes a pre-conference workshop on project management tools held at the CARL Conference on April 4, 2014. The schedule included an introduction to project management case studies, a discussion of project management theory and best practices, a workshop to plan a project using paper and pencils, and a software showroom and test drive of various project management software options. Speakers included representatives from California Maritime Academy, William Jessup University, and Golden Gate University.
Are we there yet? Rev up your productivity with project management tools
This document summarizes a pre-conference workshop on project management tools held at the CARL Conference on April 4, 2014. The schedule included an introduction to project management case studies, a discussion of project management theory and best practices, a workshop to plan a project using paper and pencils, and a software showroom and test drive of various project management software options. Speakers included representatives from California Maritime Academy, William Jessup University, and Golden Gate University.
Highlight OpenStack survey
This document presents a model for estimating development effort in free and open source software projects by mining data from version control systems. The model identifies full-time developers based on commit activity and assigns them one person-month of effort per month. A survey of over 100 OpenStack developers was used to validate the model. Analysis of the OpenStack project found the minimum error when developers with over 12 commits in 6 months were considered full-time, estimating a total effort of 9,000 person-months (750 person-years) since inception.
Analytics and Data as a Keystone Technology for Translation Companies, Doron ...
Analytics and Data as a Keystone Technology for Translation Companies, Doron ...TAUS - The Language Data Network
A 30min session that covered collecting data, tracking it and operationally using it to remove the need for a traditional agency structureLogic Model Workbook
The document is a workbook to help users develop logic models for their programs. It explains that a logic model is a tool that clarifies and depicts a program, showing the relationships between resources, activities, outputs and outcomes. The workbook provides guidance on developing each component of the logic model, including articulating the problem, goal, rationales, assumptions, resources, activities, outputs and outcomes. It emphasizes that a well-developed logic model can support program planning, management, communication, consensus building and fundraising.
General Tips to Fast-Track Your Quantitative Methodology
This document provides tips for fast-tracking a quantitative methodology dissertation, including establishing clear goals and communication with your committee, developing strong research questions and variables of interest, planning an appropriate data collection and analysis strategy using validated instruments and statistical software, and maintaining consistency throughout the process. Key recommendations include running a power analysis, using pre-existing surveys when possible, and having a detailed plan for addressing each research question and analyzing the data. Following these tips can help students efficiently complete the methodology chapter and overall dissertation.
Similar to A replicated study on agile team velocity in story and function points (20)
1a. PROBLEM 1Millar Company has the following cost rec.docx
1a. PROBLEM 1Millar Company has the following cost rec.docx
Running head DATA ANALYSIS PLAN 1DATA ANALYSIS PLAN.docx
Running head DATA ANALYSIS PLAN 1DATA ANALYSIS PLAN.docx
Argument Papers (5-7 pages in length)1. Do schools perpe.docx
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How Can I Use SNAP to Improve My Estimation Practices?
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A GROUNDED THEORY OF THE REQUIREMENTS ENGINEERING PROCESS
A GROUNDED THEORY OF THE REQUIREMENTS ENGINEERING PROCESS
The Use of Story Point and Sprint Report in Agile Project Methodology.pdf
The Use of Story Point and Sprint Report in Agile Project Methodology.pdf
PLEASE READ BACKGROUND INFO BELOW. TURNIT IN IS USEDModule 4 .docx
PLEASE READ BACKGROUND INFO BELOW. TURNIT IN IS USEDModule 4 .docx
Recommending Scientific Papers: Investigating the User Curriculum
Recommending Scientific Papers: Investigating the User Curriculum
Are we there yet? Rev up your productivity with project management tools
Are we there yet? Rev up your productivity with project management tools
Are we there yet? Rev up your productivity with project management tools
Are we there yet? Rev up your productivity with project management tools
Analytics and Data as a Keystone Technology for Translation Companies, Doron ...
Analytics and Data as a Keystone Technology for Translation Companies, Doron ...
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socradar-q1-2024-aviation-industry-report.pdf
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Vitthal Shirke Java Microservices Resume.pdf
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Hand Rolled Applicative User Validation Code Kata
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
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Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
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GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
This session covers GraalVM & Spring Boot, Spring AOT, performance optimizations and using libraries
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
UI5con 2024 - Boost Your Development Experience with UI5 Tooling Extensions
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
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Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
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These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
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- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
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- Invited for poster presentation at PLDI SRC ‘16.
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A replicated study on agile team velocity in story and function points
- 1. A Replicated Study on Correlating Agile Team Velocity in Function and Story Points Hennie Huijgens Delft University of Technology and Goverdson The Netherlands
- 2. A Learning Cycle for Software Engineering Projects Project Estimate Project Control Project Close Benchmark & Analysis Measurement Repository
- 3. In 2013 we published a paper on Best-in-Class Software Releases
- 4. We focused at 26 software releases that outperformed in comparison with our measurement repository -100% 100% 300% 500% Cost / Duration Matrix 300% 200% 100% 0% -100% % Cost Deviation from Mean Cost over Time Bad Practice Good Practice Time over Cost % Duration Deviation from Mean
- 5. 14 Of these releases were counted in both Function Points and Story Points Period FP SP A Aug 11 22 - A Sep 11 26 - A Oct 11 49 - A Nov 11 31 - A Dec 11 47 - A Jan 12 16 - A Feb 12 14 26 A Mar 12 21 57 A Apr 12 13 75 A May 12 48 48 A Jun 12 41 29 A Jul 12 32 45 A Aug 12 55 27 Period FP SP B Aug 11 52 - B Sep 11 28 - B Oct 11 30 - B Nov 11 9 - B Dec 11 30 - B Jan 12 5 43 B Feb 12 18 35 B Mar 12 24 25 B Apr 12 20 51 B May 12 25 45 B Jun 12 41 21 B Jul 12 57 14 B Aug 12 10 -
- 6. Function Points versus Story Points Function Points (FP) Story Points (SP) FP is a Size Metric SP is an Effort Estimate Objective (ISO standard for Functional Size Measurement) Relative (e.g. Fibonacci sequence) FPs cover functionality only SPs covers both functionality and NFR’s
- 7. In 2011 a paper by a group of Brazilian researchers was published on a comparison between FPs and SPs • ‘It was also realized a statistical correlation between FP and SP using 2191 stories and 18 iterations in a Brazilian public agency. • The conclusion drawn from this study was that function points, in that particular case, could be related with the initial value of the Story Points (…)’ • ‘The result cannot be generalized, but it supports an idea that Product Size = Functional Size + Non-Functional Size + Environments Variables Size, Story Points = Function Points + Non- Functional Size + Environments Variables Size.’
- 8. A comparison of FPs versus SPs in both studies 900 800 700 600 500 400 300 200 100 0 0 20 40 60 80 100 120 140 160 180 Santana et al. Bank Data A Bank Data B Function Points Story Points Where Santana et al. concluded a strong positive linear relation between FPs and SPs, we found a moderate negative one. It appears too early to make generic claims on the relation between FPs and SPs; in fact FSM-theory seems to underpin that such a relationship is a spurious one.
- 9. ‘Can we compare FPs with SPs?’ • The results of our study support the often heard saying that SPs cannot be (or should not be) compared with functional size measurements such as FPs. • FPs are assumed to be objective functional size measurements, based on standardized guidelines. FPs cover functionality only. • SPs are at best reliable within the scope of one software development team; results cannot be compared with other teams or companies. SPs cover both functional and non-functional requirements.
- 10. ‘Okay, if we can’t compare them, which ones do we throw away?’ • None! You need both… • Use SPs to estimate the work to be done and for communication to the business. They are a great tool for developers to describe the effort of a feature or user story in comparison to another within the scope of a development team. • Use FPs to track progress in portfolio management and for benchmarking purposes. FPs are an industry standard with proper guidelines and can be used worldwide across companies.
- 11. Thank you Hennie Huijgens h.k.m.huijgens@tudelft.nl www.goverdson.com
Editor's Notes
- Together with many colleagues from several software companies I collected historic data from finalized software projects, and stored all this information in a measurement repository. And once every month or quarter we analyzed our data and looked for trends on a portfolio level or organization level. And we learned from the knowledge that we collected as an estimate for newly started projects.
- Besides my work as measurement expert I started off doing a PhD at Delft University of Technology, and we published a study on the IWSM-Mensura 2013 conference on 26 best-in-class software releases that we identified in our repository.
- These 26 releases outperformed in comparison with all other software projects in our repository. We found that they scored better than average for both cost and duration, ending up in the good practice quadrant of this matrix.
- There was something interesting in these projects that we did not use in our IWSM-Mensura paper. During the measurement period of the 26 software releases, performed by two teams on different, yet comparable software systems, a transition was made from waterfall to scrum as the delivery approach. Meaning that for both teams we had 7 releases measured in both function points and story points. And we’d liked to find out whether we could find any correlation between both size metrics.
- Comparison function points versus story points.
- Yet when starting up this study, I found that there was already another paper on this subject, published by a group of Brazilian researchers on the XP 2011 conference. This study included a comparison of function points and story points, showing that – however not to be generalized – a strong positive linear relation occurred between both metrics. The researchers even suggested that in future automated translation from function points to story points, or the other way around, might be thinkable. We decided to replicate this study with our data of the 14 best-in-class software releases.
- And however our data showed a moderate relation, we found no match with the Brazilian study. Where they reported a strong, positive linear relation, we found a moderate, negative linear one. We wrote things down in a paper and send it to WETSoM 2014. And then something interesting happened. We got a reply from the organizers that our paper was accepted, followed by 8 pages of peer review remarks, stating among other things that in fact a relationship between function points and story points is a spurious one. We dived again in the FSM-theory, and indeed we do have to agree we missed a point here.
- So, to summarize the outcome of our study; it supports the idea that story points cannot be (or should not be) compared to function points. Function points are objective, based on formal counting guidelines and they cover functionality only. Story points on the other hand are to be used within the scope of a software engineering team. They should not be used for comparison with other teams or even with other organizations.
- So to finalize; if comparison is not an option, why don’t we throw away one of them? And it is good to realize that this is happening in many software companies nowadays. Since many companies go agile, I see a trend to opt for story points – often considered as modern and fancy – and to get rid of function points, together with its old-fashioned measurement dinosaurs. However, keep in mind that we need both. In many companies story points prove to be a reliable and easy to use instrument to support the estimation process. Function points on the other hands, are a good source for quantified portfolio management and internal and external benchmarking.
- So, however both metrics might be from different planets, maybe next time when you hear measurement guys talking about all sorts of points, performance improvements, dashboards and so on, remember my colorful paintings about raga’s. And realize that the golden mean is always ‘that what’s creating passion’.