Making decision in the presence of uncertainty requires estimating the impact of the outcome of those decisions. Here;s a collection of resources can can be used to guide that process
Performance-Based Project Management® id s deliverables based approach to project success. Deliverables start with the needed capabilities that the project produces to meet the mission objectives or fulfill a business case.
These deliverables fulfill the requirements, assessed through Measures of Effectiveness and Measures of Performance
Forecasting cost and schedule performanceGlen Alleman
This document discusses the importance of statistical forecasting for project performance in the presence of uncertainty. Some key points:
- Current Earned Value Management techniques treat metrics like SPI/CPI as single point estimates without accounting for underlying variances, missing important statistical information.
- Forecasts of future performance using current EV techniques are linear, non-risk adjusted projections that ignore the statistical nature of past performance data.
- Statistical time series analysis of past performance data from the Central Repository can provide probabilistic forecasts with confidence intervals, increasing the probability of project success.
- All project activities have natural uncertainties that impact the probability of cost, schedule and technical performance. Understanding these statistical behaviors is crucial for credible forecast
The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ‒ Steve McConnell
Introduction to monte-carlo analysis for software development - Troy Magennis...Troy Magennis
Forecasting and managing software development project risks & uncertainty. Monte-carlo analysis is the tool of choice for managing risk in many fields where risk is an inherent part of doing business. This paper examines how to use monte-carlo techniques to understand and leverage risk in Software Development projects and teams.
5.0 Estimating Agile Development ProjectsGlen Alleman
The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ‒ Steve McConnell
Starting with an EIA–748–C compliant Earned Value Management System, integrating an Agile Software Development Lifecycle (Agile) is straightforward when there is a Bright Line between the Performance Measurement Baseline (PMB) and the Sprints and Tasks of the Agile Software Development Process.
In Agile, Story Points are used as measures of effort. In Earned Value there is no concept of Story Points, rather Dollars and Hours are the measures of effort and duration for the work.
When using Agile on EVM projects, each unit of measure has value to the benefits produced through the integration, IF there is a proper segregation of these concepts.
Performance-Based Project Management® id s deliverables based approach to project success. Deliverables start with the needed capabilities that the project produces to meet the mission objectives or fulfill a business case.
These deliverables fulfill the requirements, assessed through Measures of Effectiveness and Measures of Performance
Forecasting cost and schedule performanceGlen Alleman
This document discusses the importance of statistical forecasting for project performance in the presence of uncertainty. Some key points:
- Current Earned Value Management techniques treat metrics like SPI/CPI as single point estimates without accounting for underlying variances, missing important statistical information.
- Forecasts of future performance using current EV techniques are linear, non-risk adjusted projections that ignore the statistical nature of past performance data.
- Statistical time series analysis of past performance data from the Central Repository can provide probabilistic forecasts with confidence intervals, increasing the probability of project success.
- All project activities have natural uncertainties that impact the probability of cost, schedule and technical performance. Understanding these statistical behaviors is crucial for credible forecast
The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ‒ Steve McConnell
Introduction to monte-carlo analysis for software development - Troy Magennis...Troy Magennis
Forecasting and managing software development project risks & uncertainty. Monte-carlo analysis is the tool of choice for managing risk in many fields where risk is an inherent part of doing business. This paper examines how to use monte-carlo techniques to understand and leverage risk in Software Development projects and teams.
5.0 Estimating Agile Development ProjectsGlen Alleman
The primary purpose of software estimation is not to predict a project’s outcome; it is to determine whether a project’s targets are realistic enough to allow the project to be controlled to meet them ‒ Steve McConnell
Starting with an EIA–748–C compliant Earned Value Management System, integrating an Agile Software Development Lifecycle (Agile) is straightforward when there is a Bright Line between the Performance Measurement Baseline (PMB) and the Sprints and Tasks of the Agile Software Development Process.
In Agile, Story Points are used as measures of effort. In Earned Value there is no concept of Story Points, rather Dollars and Hours are the measures of effort and duration for the work.
When using Agile on EVM projects, each unit of measure has value to the benefits produced through the integration, IF there is a proper segregation of these concepts.
The resources listed here are the starting point for anyone interested in applying the principles developed in this briefing for integrating Agile with Earned Value Management projects
Probabilistic Schedule and Cost AnalysisGlen Alleman
An overview of the probabilistic risk analysis processes that can be applied to a program. Although it may not appear to be a “simple” overview, this material is the tip of the iceberg of this complex topic.
Just schedule analysis has been addressed in detail here. The cost aspects of forecasting and simulation must be addressed as well to complete the connections between schedule and cost.
Probabilistic cost will be surveyed here, but an in depth review is for a later time.
Monte Carlo Simulation for Agile DevelopmentGlen Alleman
This document discusses Monte Carlo simulation and its use for estimating projects in the presence of uncertainty. It provides an overview of Monte Carlo simulation, including that it examines all possible states of a variable rather than just the mean and variance. It also discusses different types of uncertainty, such as aleatory and epistemic uncertainty. The document lists several Monte Carlo simulation tools and provides references for further reading on the topic.
IS EARNED VALUE + AGILE A MATCH MADE IN HEAVEN?
Increasing the Probability of Program Success requires by connecting the dots between EV and Agile Development.
Presented at
The Nexus of Agile Software Development and
Earned Value Management, OSD-PARCA,
February 19 – 20, 2015
Institute for Defense Analysis, Alexandria, VA
Avoid software project horror stories - check the reality value of the estima...Harold van Heeringen
Many large software projects turn into software horror stories, resulting in newspaper headlines and even political issues. Often, the project costs and schedule were estimated unrealistically optimistic, using immature estimation techniques. A relatively simple way to avoid many problems is to perform a reality check on the estimate. This presentation was given on the conference of the International Cost Estimating and Analysis Association (ICEAA2014), June 2014 (Denver, USA)
My presentation at the Melbourne PMI Conference 10 Sep 2014. Aimed at non-Agile Project Managers wishing to adopt some aspects of the Agile Mindset and Agile way of thinking.
Every tool, process, and practice has a dark side. Knowing these is a Critical Success Factor to the integration of EVM and Agile at the desired Maturity Level.
Both Earned Value Management and Agile have Dark Sides. Things that are not talked about in public.
But when they are Integrated, each provides a solution for the problems of the other.
Assess current and desired Maturity for Agile and EVM is the starting point for integrating these two processes.
Building credible cost and schedule estimates requires discipline, skill, and experience. All 3 can be acquired over time. The starting point is understanding what processes make up the discipline of estimating
Managing in the Presence of UncertantyGlen Alleman
Managing in the Presence of Uncertainty requires making decision with Models of that Uncertainty
Monte Carlo Simulation and some related approaches can be the basis of making informed decisions in the presence of Uncertainty
Using balanced scorecard to build a project focused org2Glen Alleman
Glen Alleman presented on using the Balanced Scorecard to build a project-focused IT organization. He discussed how CH2M HILL uses Balanced Scorecard to improve project performance and connect investments to strategy. Alleman explained that their approach focuses on deploying strategy through project management by using Balanced Scorecard to measure strategic metrics, actual costs, delivered value, and resource utilization. Their goal is to improve how they deliver projects to meet strategic customer needs with fewer resources over time.
This document discusses strategic portfolio management. It provides an overview of how strategic portfolio management can optimize management of funds, resources, dependencies and work sequences for a portfolio of projects. This increases the probability of success for the portfolio by integrating business strategy, programs, projects and work activities while tracking performance. The document also uses a case study of a large transportation project portfolio to illustrate how strategic portfolio management was used to coordinate many interrelated projects over 20 years with varying funding sources and resource requirements.
Five immutable principles of project successGlen Alleman
All successful projects adhere to five immutable principles during their lifecycle. These principles are independent of any project or program domain or context in that domain. They are also independent of any project management or product development method as well, including Agile. They ask five questions that must have credible answers that establish the foundation for success. Without credible answers to these 5 questions, the project has little hope of success.
The management of software development is fraught with risk: technical risk, market risk, requirements risk, and financial risk. This paper describes nine (9) key management principles for
guiding the development of a software project. These principles are not original. They are taken directly from the work of Norm Brown, the founder and executive Director of the Software Program Managers Network (SPMN).
Traditional project management methods are based on scientific principles considered “normal science,” but lack a theoretical basis for this approach. These principles make use of linear step–wise refinement of the project management processes using a planning–as–management paradigm. Plans made in this paradigm are adjusted by linear feedback methods. These plans cannot cope with the multiple interacting and continuously changing technology and market forces. They behave as a linear, deterministic, Closed–Loop control system.
The document discusses different levels of project complexity and their alignment with agile project management approaches. It uses the analogy of piloting different types of aircraft to represent different levels of projects, from simple solo projects to highly complex projects critical to national security. The levels progress from having full autonomy to operating within strict rules and oversight, where mistakes are not tolerated due to high stakes and consequences. Agile approaches are best suited for self-contained teams with flexibility and autonomy, while larger, more complex projects require more formal processes and governance.
The resources listed here are the starting point for anyone interested in applying the principles developed in this briefing for integrating Agile with Earned Value Management projects
Probabilistic Schedule and Cost AnalysisGlen Alleman
An overview of the probabilistic risk analysis processes that can be applied to a program. Although it may not appear to be a “simple” overview, this material is the tip of the iceberg of this complex topic.
Just schedule analysis has been addressed in detail here. The cost aspects of forecasting and simulation must be addressed as well to complete the connections between schedule and cost.
Probabilistic cost will be surveyed here, but an in depth review is for a later time.
Monte Carlo Simulation for Agile DevelopmentGlen Alleman
This document discusses Monte Carlo simulation and its use for estimating projects in the presence of uncertainty. It provides an overview of Monte Carlo simulation, including that it examines all possible states of a variable rather than just the mean and variance. It also discusses different types of uncertainty, such as aleatory and epistemic uncertainty. The document lists several Monte Carlo simulation tools and provides references for further reading on the topic.
IS EARNED VALUE + AGILE A MATCH MADE IN HEAVEN?
Increasing the Probability of Program Success requires by connecting the dots between EV and Agile Development.
Presented at
The Nexus of Agile Software Development and
Earned Value Management, OSD-PARCA,
February 19 – 20, 2015
Institute for Defense Analysis, Alexandria, VA
Avoid software project horror stories - check the reality value of the estima...Harold van Heeringen
Many large software projects turn into software horror stories, resulting in newspaper headlines and even political issues. Often, the project costs and schedule were estimated unrealistically optimistic, using immature estimation techniques. A relatively simple way to avoid many problems is to perform a reality check on the estimate. This presentation was given on the conference of the International Cost Estimating and Analysis Association (ICEAA2014), June 2014 (Denver, USA)
My presentation at the Melbourne PMI Conference 10 Sep 2014. Aimed at non-Agile Project Managers wishing to adopt some aspects of the Agile Mindset and Agile way of thinking.
Every tool, process, and practice has a dark side. Knowing these is a Critical Success Factor to the integration of EVM and Agile at the desired Maturity Level.
Both Earned Value Management and Agile have Dark Sides. Things that are not talked about in public.
But when they are Integrated, each provides a solution for the problems of the other.
Assess current and desired Maturity for Agile and EVM is the starting point for integrating these two processes.
Building credible cost and schedule estimates requires discipline, skill, and experience. All 3 can be acquired over time. The starting point is understanding what processes make up the discipline of estimating
Managing in the Presence of UncertantyGlen Alleman
Managing in the Presence of Uncertainty requires making decision with Models of that Uncertainty
Monte Carlo Simulation and some related approaches can be the basis of making informed decisions in the presence of Uncertainty
Using balanced scorecard to build a project focused org2Glen Alleman
Glen Alleman presented on using the Balanced Scorecard to build a project-focused IT organization. He discussed how CH2M HILL uses Balanced Scorecard to improve project performance and connect investments to strategy. Alleman explained that their approach focuses on deploying strategy through project management by using Balanced Scorecard to measure strategic metrics, actual costs, delivered value, and resource utilization. Their goal is to improve how they deliver projects to meet strategic customer needs with fewer resources over time.
This document discusses strategic portfolio management. It provides an overview of how strategic portfolio management can optimize management of funds, resources, dependencies and work sequences for a portfolio of projects. This increases the probability of success for the portfolio by integrating business strategy, programs, projects and work activities while tracking performance. The document also uses a case study of a large transportation project portfolio to illustrate how strategic portfolio management was used to coordinate many interrelated projects over 20 years with varying funding sources and resource requirements.
Five immutable principles of project successGlen Alleman
All successful projects adhere to five immutable principles during their lifecycle. These principles are independent of any project or program domain or context in that domain. They are also independent of any project management or product development method as well, including Agile. They ask five questions that must have credible answers that establish the foundation for success. Without credible answers to these 5 questions, the project has little hope of success.
The management of software development is fraught with risk: technical risk, market risk, requirements risk, and financial risk. This paper describes nine (9) key management principles for
guiding the development of a software project. These principles are not original. They are taken directly from the work of Norm Brown, the founder and executive Director of the Software Program Managers Network (SPMN).
Traditional project management methods are based on scientific principles considered “normal science,” but lack a theoretical basis for this approach. These principles make use of linear step–wise refinement of the project management processes using a planning–as–management paradigm. Plans made in this paradigm are adjusted by linear feedback methods. These plans cannot cope with the multiple interacting and continuously changing technology and market forces. They behave as a linear, deterministic, Closed–Loop control system.
The document discusses different levels of project complexity and their alignment with agile project management approaches. It uses the analogy of piloting different types of aircraft to represent different levels of projects, from simple solo projects to highly complex projects critical to national security. The levels progress from having full autonomy to operating within strict rules and oversight, where mistakes are not tolerated due to high stakes and consequences. Agile approaches are best suited for self-contained teams with flexibility and autonomy, while larger, more complex projects require more formal processes and governance.
Managing in the presence of uncertaintyGlen Alleman
Uncertainty is the source of risk. Uncertainty comes in two types, aleatory and epistemic. It is important to understand both and deal with both in distinct ways, in order to produce a credible risk handling strategy.
Root Cause Analysis is the method of problem solving that identifies the root causes of failures or problems. A root cause is the source of a problem and its resulting symptom, that once removed, corrects or prevents an undesirable outcome from recurring.
Defining business value in units meaningful to the business and connecting these to the measures of performance for the project that produce this business value.
Pseudo–science and the art of software methodsGlen Alleman
We hear all the time about the next big thing that will undo all the standard principle of business management, software development methods, and processes needed to produce reliable, robust products as planned. Here's some "test" questions to get answered before getting to excitied.
The document discusses integration of agile and earned value management (EVM). It provides an overview of several agile frameworks and principles for agile software development. It notes that agile development provides a tool for producing working software frequently to get customer feedback, which is important for software-intensive systems of systems where requirements may change. The document is a collection of resources for applying agile principles with EVM and includes references to several papers and books on topics like agile frameworks, scaling agile, agile and EVM, estimating for software-intensive systems, and agile transformation.
This document outlines a framework for structuring presentations, white papers, or other materials as a three-act play. It suggests introducing the problem in Act 1, providing reasons and support for the proposed solution in Act 2, and resolving the issue by having the audience accept the solution in Act 3. Each act contains five scenes that pull the audience in, establish key details, turn the story in a new direction, and ultimately lead to a resolution. By using this three-act play structure, presenters can tell a memorable story that engages the audience and persuades them to accept the proposed solution.
This document discusses how earned value management (EVM) can be successfully used with agile software development methods on Department of Defense programs over $20 million. It argues that EVM provides important information for planning, controlling costs, and measuring value added over time. While agile focuses on development practices, EVM can help connect technical performance to business goals and ensure regulatory compliance for large programs. The document seeks to dispel myths about both agile and EVM, and convince the audience that the two approaches can work together to increase the probability of project success.
Performance based planning in a nut shell (V5)Glen Alleman
The document discusses principles and practices of performance-based project management. It introduces five principles of project success related to defining objectives, planning the work, ensuring adequate resources, anticipating impediments, and measuring progress. It then presents five practices for identifying capabilities needed, establishing requirements, setting a performance measurement baseline, executing the baseline, and performing continuous risk management. The document provides details on processes within each practice area and emphasizes the importance of defining measurable outcomes and progress.
The integrated master plan and integrated master scheduleGlen Alleman
The Integrated Master Plan (IMP) and Integrated Master Schedule( (IMS) provide a strategy for the incremental delivery of program outcomes through increasing maturity assessments with Measures of Effectiveness, Measures of Performance, Technical Performance Measures, and Key Performance Parameters.
These assessment assure the needed capabilities of the project are met at each assessment point to confirm physical percent complete as planned in the Integrated Master Plan
Earned Value Management Meets Big DataGlen Alleman
The Earned Value Management System (EVMS) maintains period–by–period data in its underlying databases. The contents of the Earned Value repository can be considered BIG DATA, characterized by three attributes – 1) Volume: Large amounts of data; 2) Variety: data comes from different sources, including traditional data bases, documents, and complex records; 3) Velocity: the content is continually being updated by absorbing other data collections, through previously archived data, and through streamed data from external sources.
With this time series information in the repository, analysis of trends, cost and schedule forecasts, and confidence levels of these performance estimates can be calculated using statistical analysis techniques enabled by the Autoregressive Integrated Moving Average (ARIMA) algorithm provided by the R programming system. ARIMA provides a statistically informed Estimate At Completion (EAC) and Estimate to Complete (ETC) to the program in ways not available using standard EVM calculations. Using ARIMA reveals underlying trends not available through standard EVM reporting calculations.
With ARIMA in place and additional data from risk, technical performance and the Work Breakdown Structure, Principal Component Analysis can be used to identify the drivers of unanticipated EAC.
5 immutable principles and 5 processes in 60 secondsGlen Alleman
This document outlines five principles, five practices, and five processes for project success according to Niwot Ridge Consulting. The principles focus on defining what success looks like, how to achieve it, ensuring adequate resources, identifying impediments, and measuring progress. The practices involve identifying capabilities and requirements, establishing and executing a performance baseline, and performing continuous risk management. The processes are organizing work, budgeting and scheduling, project accounting, performance analysis, and change control.
Recent College of Performance Management Webinar on using Technical Performance to inform Earned Value Management. Six steps to building a credible Performance Measurement Baseline to connect the dots between all the elements of the program
The simple problem of schedule performance indicesGlen Alleman
Performance measurement involves tracking a project's cost, schedule, and technical performance against the plan. It is one of five principles of project success. Earned value management compares the budgeted cost of work scheduled (BCWS), actual cost of work performed (ACWP), and budgeted cost of work performed (BCWP) to measure performance and progress. Tracking variances in cost and schedule performance can identify issues needing corrective action to get the project back on track.
Information Technology Risk ManagementGlen Alleman
The concept of managing the development or deployment of an Information Technology (IT) system using deterministic, linear, and causal analysis contains several pitfalls. As IT systems grow in complexity, the interaction between their components becomes non–linear and indeterminate, creating many opportunities for failure.
The naturally occurring uncertainties (Aleatory) in cost, schedule, and technical performance can be modeled in a Monte Carlo Simulation tool. The Event Based uncertainties (Epistemic) require capture, modeling of their impacts, defining handling strategies, modeling the effectiveness of these handling efforts, and the residual risks, and their impacts of both the original risk and the residual risk on the program.
Project driven organization require lifecycle management to successfully deliver value to those paying for the outcomes of the project effort. This involves processes and data for Executive processes, Enterprise Governance, Program Management Office activities, Applications that enable the delivery of value, and overarching processes and data.
ERP, PDM, CRM, and EDM system critical success factors (CSF) have significant impacts on the success or failure of the project.
What are these CSF’s and how can a project asses their compliance against them?
A survey of predicting software reliability using machine learning methodsIAESIJAI
In light of technical and technological progress, software has become an urgent need in every aspect of human life, including the medicine sector and industrial control. Therefore, it is imperative that the software always works flawlessly. The information technology sector has witnessed a rapid expansion in recent years, as software companies can no longer rely only on cost advantages to stay competitive in the market, but programmers must provide reliable and high-quality software, and in order to estimate and predict software reliability using machine learning and deep learning, it was introduced A brief overview of the important scientific contributions to the subject of software reliability, and the researchers' findings of highly efficient methods and techniques for predicting software reliability.
September 2022-Top 10 Cited Articles-International Journal of Embedded System...ijesajournal
International Journal of Embedded Systems and Applications (IJESA) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Embedded Systems and applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Embedded Systems and establishing new collaborations in these areas.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Embedded Systems & applications.
A bibliometric analysis on cost and risk estimation in DevOps project menthod...Harender Singh
Cost estimation is one of the most challenging and misunderstood tasks in software development. The agile world is still in the learning phase when it comes to cost estimation. The aim while developing agile was to mitigate the costs and time in development. Multiple case studies prove that the primary technique to estimate cost is experiential knowledge and comparison to past similar projects.
Cost estimation requires a lot of time in Agile, that is, at the starting of each iteration, making the process difficult. The business found that cost estimation has been more accurate and easier with the traditional waterfall model.
Risk is the uncertain event or condition in the product/ software development cycle of the IT Industry. The primary project objectives are identification, categorization, analysis- qualitative or quantitative, response planning, monitoring and implementation of risk. Where DevOps has proved itself as a great success
New research articles 2018 november issue- international journal of softwar...ijseajournal
The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of software engineering & applications.
Agile Development in Large-Scale: Challenges and Insight from ResearchTorgeir Dingsøyr
Keynote at the SPA Software in Practice, London, 26 June 2019.
Agile methods were aimed at small, co-located teams developing non-critical software products. The success of these methods for small teams have led to use in projects with tens of teams and hundreds of developers. Are agile methods suited in this new context? What fundamental assumptions in agile methods become challenging with scale? What can we learn from prior studies on key areas such as managing uncertainty, coordination, sharing knowledge, self management and tailoring of development method?
IRJET- Development of a Neural Network based Model for Construction Proje...IRJET Journal
This document describes the development of a neural network model to predict construction project management effectiveness. 12 factors that influence effectiveness were identified, including factors related to the project manager, project team, and planning/control efforts. A questionnaire was used to collect historical project data on these factors. A neural network model was developed and trained using the data to establish relationships between the input factors and output of project cost variation, which measures management effectiveness. The model can be used as a decision support tool to evaluate management strategies and optimize resource allocation to improve effectiveness.
This is the abstract of my M.Tech thesis submitted as part of my final semester for award of my Master's degree with thesis. This highlights my research work in the area of multi agent system project implementation in real projects, case studies and a general project package as a reference framework used as a canonical model.
Parag Deshmukh has over 23 years of experience in program/project delivery management in the IT industry. He has worked with various technologies like PeopleSoft, Oracle, and others. Some of his responsibilities include requirement gathering, solution design, resource management, delivery management, and ensuring customer satisfaction. He has extensive experience working with financial modules of PeopleSoft like General Ledger, Accounts Payable, Project Costing etc. He has also worked on the implementation and upgrades of PeopleSoft applications for various clients in industries like banking, manufacturing, telecom etc.
DETERMINING THE RISKY SOFTWARE PROJECTS USING ARTIFICIAL NEURAL NETWORKSijseajournal
Determining risky software projects early is a very important factor for project success. In this study it is aimed to choose the most correctly resulting modelling method that will be useful for early prediction of risky software projects to help companies to avoid losing time and money on unsuccessful projects and also facing legal requirements because of not being able to fullfill their responsibilites to their customers While making the research for this subject, it is seen that in previous researches, usually traditional modelling techniques were preferred. But it is observed that these methods were mostly resulted with high misclassification ratio. To overcome this problem, this study proposes a three-layered neural network (NN) architecture with a backpropagation algorithm. NN architecture was trained by using two different data sets which were OMRON data set (collected by OMRON) and 2016-2020 ES.LV data set (collected by the authors) separately. For the made of this study firstly the most relevant classification method (Gaussian Naive Bayes Algorithm) and the most relevant neural network method (Scaled Conjugate Gradient Backpropagation Algorithm) was chosen and both data sets were trained by using each method seperately for the purpose of observing which type of modelling architecture would give better results. Experimental results of this study showed that the neural network approach is useful for predicting whether a project is risky or not risky.
The software engineering process involves key activities to help create high-quality software in a timely manner. It provides structure, control, and organization. The process depends on the specific software but generally involves communication, planning, modeling, construction, and deployment. Additional umbrella activities like risk management, quality assurance, and configuration management help manage the process. The goal is to deliver software that satisfies stakeholders and users.
Pitfalls and Countermeasures in Software Quality Measurements and EvaluationsHironori Washizaki
Hironori Washizaki, "Pitfalls and Countermeasures in Software Quality Measurements and Evaluations," 5th International Workshop on Quantitative Approaches to Software Quality (QuASoQ), Keynote, Nanjing, Dec 4, 2017
On applications of Soft Computing Assisted Analysis for Software ReliabilityAM Publications
Developing high quality reliable software is one of the main challenges in software industry. Software
Reliability is a key concern of many users and developers of software. Demand for software reliability requires robust
modeling techniques for software quality prediction. Software reliability models are very useful to estimate the
probability of failure of software along with the time. In this study we review the available literature on software
reliability. We have also elicited the current trends, existing problems, specific difficulties, future directions and open
areas for research.
The adoption of machine learning techniques for software defect prediction: A...RAKESH RANA
The adoption of machine learning techniques for software defect prediction: An initial industrial validation
Presented at:
11th Joint Conference On Knowledge-Based Software Engineering, JCKBSE, Volgograd, Russia, 2014
Get full text of publication at:
http://rakeshrana.website/index.php/work/publications/
New Research Articles 2022 January Issue International Journal of Software En...ijseajournal
International Journal of Software Engineering & Applications (IJSEA)
** ERA Indexed **
ISSN: 0975 - 9018 (Online); 0976-2221 (Print)
https://airccse.org/journal/ijsea/ijsea.html
Current Issue: January 2022, Volume 13, Number 1
New Research Articles 2022 January Issue International Journal of Software Engineering & Applications (IJSEA)
Hybrid Practices in Global Software Development: A Systematic Literature Review
Rafael Camara, Iury Monte, Annelyelthon Alves and Marcelo Marinho, Federal Rural University of Pernambuco, Brazil
Study on Technical Focuses and Sampling Coverage Strategy of Airborne Software Reviews
Jinghua Sun1, Samuel Edwards2, Nic Connelly3, Andrew Bridge4 and Lei Zhang1, 1COMAC Shanghai Aircraft Design and Research Institute, China, 2Defence Aviation Safety Authority, Australia, 3RMIT University, Australia, 4European Union Aviation Safety Agency, Germany
https://airccse.org/journal/ijsea/vol13.html
Using Cognitive Dimensions Questionnaire to Evaluate the Usability of Securit...Chamila Wijayarathna
This was presented by me at the 28th annual gathering of Psychology of Programmers Interest Group (PPIG).
Usability issues that exist in security APIs cause programmers to embed those security APIs incorrectly to the applications they develop. This results in introduction of security vulnerabilities to those applications. One of the main reasons for security APIs to be not usable is currently there is no proper method by which the usability issues of security APIs can be identified. We conducted a study to assess the effectiveness of the cognitive dimensions questionnaire based usability evaluation methodology in evaluating the usability of security APIs. We used a cognitive dimensions based generic questionnaire to collect feedback from programmers who participated in the study. Results revealed interesting facts about the prevailing usability issues in four commonly used security APIs and the capability of the methodology to identify those issues.
This document is a resume for Tirumala Reddy K, a software developer and web developer currently pursuing an M.S. in Computer Science from the University of Missouri Kansas City with expected graduation in May 2015. Reddy has work experience as a software developer at Infotech Enterprises Ltd from July 2012 to December 2013 and as a web developer at the University of Missouri Kansas City from Summer 2014 to Fall 2014. Reddy's education includes a B.Tech in Electronics and Communications Engineering from Sri Venkateswara University College of Engineering obtained in May 2012 with a percentage of 82.7%.
Industrial big data analytics for prediction of remaining useful life based o...nexgentechnology
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Managing risk with deliverables planningGlen Alleman
This document discusses managing risk through continuous risk management (CRM). It introduces the five principles of risk management and outlines the CRM process, which includes identifying risks, analyzing and prioritizing them, planning mitigations, tracking mitigation progress and risks, making decisions based on risk data, and communicating throughout the project. The presentation provides examples of risk statements, evaluation criteria, classification approaches, and integrating risks and mitigation plans into project schedules. The goal of CRM is to continually identify, assess, and mitigate risks to improve project outcomes.
Planning projects usually starts with tasks and milestones. The planner gathers this information from the participants – customers, engineers, subject matter experts. This information is usually arranged in the form of activities and milestones. PMBOK defines “project time management” in this manner. The activities are then sequenced according to the projects needs and mandatory dependencies.
Increasing the Probability of Project SuccessGlen Alleman
This document discusses principles and practices for increasing the probability of project success by managing risk from uncertainty. It defines risk as the effect of uncertainty on objectives. There are two types of uncertainty - epistemic (reducible) and aleatory (irreducible). Risk from epistemic uncertainty can be reduced through work on the program, while risk from aleatory uncertainty requires establishing margins. The document argues that effective risk management is needed to deliver capabilities on time and budget by identifying risks, understanding their interactions and impacts, and implementing risk handling strategies. This increases the likelihood of project success by preventing problems, improving quality, enabling better resource use, and promoting teamwork.
Process Flow and Narrative for Agile+PPMGlen Alleman
This document describes how an organization integrates agile software development practices with earned value management (EVM) to provide program status updates. It outlines a process that begins with developing a rough order of magnitude estimate of features needed. These features are then prioritized, mapped to a product roadmap and product backlog. Stories are developed from features and estimated, and tasks are estimated in hours. Physical percent complete data from tasks in Rally is used to calculate EVM metrics to inform stakeholders.
This document discusses principles of effective risk management for projects. It emphasizes the importance of clearly defining requirements and success criteria before releasing requests for proposals. This includes quantifying measures of effectiveness and performance for different use scenarios. Effective risk management also requires developing a funded implementation plan informed by historical risks and uncertainties. The document outlines key data and processes needed to reduce risks and increase the probability of a project's success, including defining requirements, developing plans and schedules, identifying risks and adjustments needed to plans. It discusses uncertainties from both known and unknown sources that can impact cost, schedule and performance.
Cost and schedule growth for complex projects is created when unrealistic technical performance expectations, unrealistic cost and schedule estimates, inadequate risk assessments, unanticipated technical issues, and poorly performed and ineffective risk management, contribute to project technical and programmatic shortfalls
From Principles to Strategies for Systems EngineeringGlen Alleman
From Principles to Strategies How to apply Principles, Practices, and Processes of Systems Engineering to solve complex technical, operational,
and organizational problems
Building a Credible Performance Measurement BaselineGlen Alleman
The document discusses establishing a credible Performance Measurement Baseline (PMB) for programs by integrating technical and programmatic plans. It recommends starting with a Work Breakdown Structure (WBS) that identifies system elements, associated risks, and processes to produce outcomes. An Integrated Master Plan (IMP) should then define how system elements mature at Program Events, with Measures of Effectiveness (MOEs) and Measures of Performance (MOPs) assigned. Finally, an Integrated Master Schedule (IMS) should arrange tasks to increase technical maturity, identify reducible and irreducible risks, and establish a risk-adjusted PMB to increase the probability of program success. Connecting these elements through the WBS, IMP and IMS
Integrated master plan methodology (v2)Glen Alleman
The document describes a methodology for developing an Integrated Master Plan (IMP). It outlines five conditions an IMP must meet, five steps in the development process, five common questions about IMP development, five common mistakes, and provides five templates/samples for key IMP sections. The methodology is intended to help program and project teams create effective IMPs that integrate execution plans and align with contractual requirements.
Capabilities‒Based Planning the capabilities needed to accomplish a mission or fulfill a business strategy
Only when capabilities are defined can we start with requirements elicitation
Starting with the development of a Rough Order of Magnitude (ROM) estimate of work and duration, creating the Product Roadmap and Release Plan, the Product and Sprint Backlogs, executing and statusing the Sprint, and informing the Earned Value Management Systems, using Physical Percent Complete of progress to plan.
Program Management Office Lean Software Development and Six SigmaGlen Alleman
Successfully combining a PMO, Agile, and Lean / 6 starts with understanding what benefit each paradigm brings to the table. Architecting a solution for the enterprise requires assembling a “Systems” with processes, people, and principles – all sharing the goal of business improvement.
This resource document describes the Program Governance Road map for product development, deployment, and sustainment of products and services in compliance with CMS guidance, ITIL IT management, CMMI best practices, and other guidance to assure high quality software is deployed for sustained operational success in mission critical domains.
The document discusses the development of an Integrated Master Plan (IMP) as the basis for an Integrated Master Schedule (IMS) for a program. It outlines a 6-step process for developing the IMP and IMS that includes understanding requirements, developing a product structure, forming integrated product teams, creating the IMP, creating the IMS, and developing the basis of estimate. It describes artifacts like the product tree, work breakdown structure, statement of work, and their relationships. It also outlines responsibilities of the program management team, integrated product team leads, and program planning and controls.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.