Dimitrov Dimitre (31 results)

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Condition: New.

Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!

Paperback or Softback. Condition: New. Software Project Estimation: Intelligent Forecasting, Project Control, and Client Relationship Management 0.44. Book.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Condition: Brand New. 118 pages. 9.00x6.00x0.50 inches. In Stock.

Condition: New. In.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New.

Condition: New.

Condition: New. pp. XVI, 118 48 illus. 1 Edition NO-PA16APR2015-KAP.

4to cream cloth in dustwrapper. Illustrated. Text in French. The picture on the listing page is of the actual book for sale. 63 pp plates. Very Good hardback in Very Good dustwrapper. Inked note on front free endpaper. Dustwrapper is edgeworn and sunned on spine and top edge.

Condition: New.

Taschenbuch. Condition: Neu. Neuware -In Software Project Estimation, author Dimitre Dimitrov extrapolates upon the most crucial steps in accurately and meaningfully forecasting the timeline and specs of promised deliverables to clients. A client¿s positive experience with project delivery and implementation is a software organization¿s calling card in the industry. The lifespan of a software project¿from ideation to final installation¿introduces dozens of potential pitfalls for a company¿s track record, earnings, and overall team morale. However, these ¿pitfalls¿ are also opportunities to showcase strengths and to improve an organization¿s product quality, and it all starts with project estimation.Reliable forecasting continues to present a challenge to even the most veteran teams and software development organizations. Dimitrov sets out to ease these common difficulties with invaluable methodology improvements and helpful visuals from his years of industry experience. Project managers¿throughharnessing the power of hard data and statistics¿have a new world of impactful forecasting at their fingertips. This approach brings security, predictability, and motivation within the team, while simultaneously greatly benefiting client trust and relationships.Software Project Estimation clarifies the common misunderstandings that materialize between making a promise, making a plan, and building a forecast backed by data. Learn how to create an intelligent software project forecast and use it to make timely decisions, apply measured project control, and confidently steer your ship toward your goals with Software Project Estimation.What You Will LearnConcepts related to software estimation, forecasting, and project controlWays in which you can positively affect the relationships among team members working on a software delivery projectHow to apply this forecasting model,within both agile and waterfall teams who have adopted sound engineering practicesAPress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 136 pp. Englisch.

Condition: New. In.

Paperback. Condition: New. New. book.

Condition: New.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 184.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In Software Project Estimation, author Dimitre Dimitrov extrapolates upon the most crucial steps in accurately and meaningfully forecasting the timeline and specs of promised deliverables to clients. A client's positive experience with project delivery and implementation is a software organization's calling card in the industry. The lifespan of a software project-from ideation to final installation-introduces dozens of potential pitfalls for a company's track record, earnings, and overall team morale. However, these 'pitfalls' are also opportunities to showcase strengths and to improve an organization's product quality, and it all starts with project estimation.Reliable forecasting continues to present a challenge to even the most veteran teams and software development organizations. Dimitrov sets out to ease these common difficulties with invaluable methodology improvements and helpful visuals from his years of industry experience. Project managers-through harnessing the power of hard data and statistics-have a new world of impactful forecasting at their fingertips. This approach brings security, predictability, and motivation within the team, while simultaneously greatly benefiting client trust and relationships. Software Project Estimation clarifies the common misunderstandings that materialize between making a promise, making a plan, and building a forecast backed by data. Learn how to create an intelligent software project forecast and use it to make timely decisions, apply measured project control, and confidently steer your ship toward your goals with Software Project Estimation.What You Will LearnConcepts related to software estimation, forecasting, and project controlWays in which you can positively affect the relationships among team members working on a software delivery projectHow to apply this forecasting model, within both agile and waterfall teams who have adopted sound engineering practicesWho This Book is ForThis book is directly relevant to the roles of scrum masters and project managers, and provides practical tools for intelligent project control. The book is also valuable for business people who want insight into the type of problems that delivery teams face, and for programmers and other delivery team members who want to gain an understanding of the project manager's day-to-day challenges. 136 pp. Englisch.

Condition: New. Print on Demand pp. XVI, 118 48 illus.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Software Project Estimation, author Dimitre Dimitrov extrapolates upon the most crucial steps in accurately and meaningfully forecasting the timeline and specs of promised deliverables to clients. A client's positive experience with project delivery and implementation is a software organization's calling card in the industry. The lifespan of a software project-from ideation to final installation-introduces dozens of potential pitfalls for a company's track record, earnings, and overall team morale. However, these 'pitfalls' are also opportunities to showcase strengths and to improve an organization's product quality, and it all starts with project estimation.Reliable forecasting continues to present a challenge to even the most veteran teams and software development organizations. Dimitrov sets out to ease these common difficulties with invaluable methodology improvements and helpful visuals from his years of industry experience. Project managers-throughharnessing the power of hard data and statistics-have a new world of impactful forecasting at their fingertips. This approach brings security, predictability, and motivation within the team, while simultaneously greatly benefiting client trust and relationships. Software Project Estimation clarifies the common misunderstandings that materialize between making a promise, making a plan, and building a forecast backed by data. Learn how to create an intelligent software project forecast and use it to make timely decisions, apply measured project control, and confidently steer your ship toward your goals with Software Project Estimation.What You Will LearnConcepts related to software estimation, forecasting, and project controlWays in which you can positively affect the relationships among team members working on a software delivery projectHow to apply this forecasting model,within both agile and waterfall teams who have adopted sound engineering practicesWho This Book is ForThis book is directly relevant to the roles of scrum masters and project managers, and provides practical tools for intelligent project control. The book is also valuable for business people who want insight into the type of problems that delivery teams face, and for programmers and other delivery team members who want to gain an understanding of the project manager's day-to-day challenges.

Condition: New. PRINT ON DEMAND pp. XVI, 118 48 illus.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced |Understand what is the difference between estimation and forecastLearn how to forecast and apply project control effectivelyGain insights for improving human relationships by allowing transparency into the project s j.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Given the current growth in global challenges, the need for smart agriculture practices and effective strategies is emerging as an imminent issue at a planetary scale. Agriculture 4.0 involves a large variety of mobile apps, web applications, Internet of Things (IoT) devices and platforms, drones, robots, and smart machinery for precision agriculture. The expansion of cloud technologies, artificial intelligence (AI), machine learning (ML), deep learning (DL), and big data collection are setting the stage for Agriculture 5.0. Agriculture science and natural sciences are further promoting this trend with the development of leading-edge scientific models and platforms, including stochastic, process-based, and data-driven machine learning modeling.This Special Issue covers the most recent and up-to-date progress in all aspects of internet and computer software applications in agriculture, focusing on the development of web applications and mobile apps, smart IoT devices and platforms, AI, ML and DL solutions in precision agriculture for detection, recognition, classification, monitoring, cultivation, harvesting, and marketing; development of cloud technologies for smart agriculture; computer and machine vision methods and applications for drones and smart machinery, and sensors for field operations; diagnostics and data collection; big data science; scientific process-based and stochastic modeling; and machine learning modeling for agriculture, agroecosystems and natural ecosystems. The research in this Special Issue will contribute to the promotion of modern agriculture practices in the current climate and in the future.