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Saturday, April 8, 2017 - 5:30pm to 10:00pm
Stone Hill Winery

A Champagne cellar reception followed with a Ten-Yearvertical Norton Tasting, finished with a three course dinner matched withStone Hill wines at our restaurant.Reservations required.Purchase ticketsin advance.

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Saturday, April 8, 2017 - 5:30pm to 10:30pm
Springfield Expo Center

Calling all citizens of FASHIONATION! Gather your troops and buy your tickets - its' time to show your allegiance to fashion. Featuring a two hour fashion show, live musical performances, exclusive shopping opportunities, dancing, Fashionation is much more than a show.

VIP Celebration presented by Missouri Wines.

Get more info and purchase tickets .

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Saturday, April 8, 2017 - 7:00pm to 9:30pm
Tipple Hill Winery

Music by Alice Faye Stagner

Presenting Patsy Cline and the “Great Ladies of Country”.

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Sunday, April 9, 2017 - 12:00pm to 5:00pm
Weston Wine Company
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Sunday, April 9, 2017 - 2:00pm to 5:00pm
Blumenhof Winery

Scottie Kemp (Country/Blues/Rock) will perform atBlumenhof Winery in Dutzow, MO on Sunday, April 9 from 2-5pm.

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Saturday, April 15, 2017 - 12:00pm to 6:00pm
Mississippi River Hills Wine Trail in SE MO

Enjoy this unique experience on the wine trail. April 15is the anniversary of the Titanic sinking 105 years ago. On this one dayvoyage on the wine trail, enjoy savory dishes in a 4 bite portion that wasserved on the original Titanic ship. With you ticket purchase you willreceive a souvenir wine glass.Then at each of the for wineries on the trailyou will experience food perfectly paired with a featured wine. All aboard!

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Saturday, April 15, 2017 - 1:00pm to 4:00pm
Riverwood Winery

Gather your friends and family to come relax in our auditorium or outdoorpatio (weather permitting) as we welcome back the Highway 65 Band to theWinery! They'll perform an excellent variety of music ranging from theEagles, to Neil Young, to the Beatles to the Rolling Stones! We have wine,whiskey and beer, as well as food trays available. No reservations arerequired to join, just come uncork with live tunes and wine! No outsidealcoholic beverages allowed.

This is the authors' version of the work. It is posted here for your personal use. Not for redistribution. The definitive version is published in the proceedings of the 43th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), Vienna, Austria. Aug. 30 - Sept. 1, 2017. See: CHFSO Womens Stylish Waterproof Faux Fur Lined Lace Up Mid Heel Platform Ankle Winter Snow Boots White kv5ap8Idt5

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Pavel Dmitriev, Somit Gupta, Dong Woo Kim, and Garnet Vaz, KDD 2017
Online controlled experiments (e.g., A/B tests) are now regularly used to guide product development and accelerate innovation in software. Product ideas are evaluated as scientific hypotheses, and tested in web sites, mobile applications, desktop applications, services, and operating systems. One of the key challenges for organizations that run controlled experiments is to come up with the right set of metrics. Having good metrics, however, is not enough. In our experience of running thousands of experiments with many teams across Microsoft, we observed again and again how incorrect interpretations of metric movements may lead to wrong conclusions about the experiment’s outcome, which if deployed could hurt the business by millions of dollars. Inspired by Steven Goodman’s twelve p-value misconceptions, in this paper, we share twelve common metric interpretation pitfalls which we observed repeatedly in our experiments. We illustrate each pitfall with a puzzling example from a real experiment, and describe processes, metric design principles, and guidelines that can be used to detect and avoid the pitfall. With this paper, we aim to increase the experimenters’ awareness of metric interpretation issues, leading to improved quality and trustworthiness of experiment results and better data-driven decisions.

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) Aleksander Fabijan, Pavel Dmitriev, Helena Holmström Olsson, Jan Bosch. ICSE 2017

Software development companies are increasingly aiming to become data-driven by trying to continuously experiment with the products used by their customers. Although familiar with the competitive edge that the A/B testing technology delivers, they seldom succeed in evolving and adopting the methodology. In this paper, and based on an exhaustive and collaborative case study research in a large software-intense company with highly developed experimentation culture, we present the evolution process of moving from ad-hoc customer data analysis towards continuous controlled experimentation at scale. Our main contribution is the “Experimentation Evolution Model” in which we detail three phases of evolution: technical, organizational and business evolution. With our contribution, we aim to provide guidance to practitioners on how to develop and scale continuous experimentation in software organizations with the purpose of becoming data-driven at scale.

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