Case Study for Java Development

Next generation enterprise semantic search engine project for a Swiss Start-up company

Customer

The customer is an IT start-up from Switzerland specialized in enterprise search solutions and semantic technologies.

Objective

From the product's perspective the aim was to design a next generation technology to enable enterprises perform semantic search and analysis of heterogeneous and unstructured data and then efficiently organize, classify and turn it into smart content.

For this project realization the client was searching for a dedicated team of innovative and highly-experienced JAVA developers who can enrich the project with their knowledge and expertise. Also the project start was planned very shortly.

Solution

The customer wanted 2-3 extremely experienced specialists to be assigned to their project, and Altabel preselected several candidates. The client decided to start from two dedicated team members and selected two candidatures based on CVs and interviews held; organizational and commercial discussions were conducted very promptly and the agreement was signed soon.

The team of two Senior JAVA developers was set up to work on a dedicated basis. In the project Agile approach to development was broadly used, project management was on the customer's side. Communication and technical discussions were very active during the project and Altabel's team was always providing recommendations on implementation options and technologies to the customer. Visits to the client's and Altabel's premises were arranged to make the project progress even more aggressive ans smooth.

Upon joint work of the client and Altabel's team, the targeted enterprise solution was developed - an intuitive and user-friendly engine. It is cloud-based and indexes and integrates multiple data sources of raw content including cloud-based applications and consolidates information into one single place. The solution provides a bespoke set of semantic services: semantic indexing, FT & concept search, auto-categorization and related content. The engine is available as a standalone platform which can be accessed through web user interface; alternatively the solution natively supports enterprise portals such as Liferay or Magnolia. For custom integrations there is also a full featured REST API to plug the engine on any system within an organization.

Results

The dedicated team of highly experienced JAVA developers was set up for the client on a short notice, and the successful cooperation has lasted for almost 3 years and resulted in development of the next-generation powerful Enterprise Semantic Engine providing a unique and comprehensive set of semantic services. During the project Agile approach was religiously used. With their products, the customer has become a winner of RedHerring Europe, the Jury vote at SemTech, a finalist at TechCrunch50 and the IKS Semantic contest.

Automated MRI data analysis system

Customer

The UK-based innovation driven and agile team, working in partnership with leading academics and clinical specialists and delivering the best medical imaging solutions and expert advice to ensure success of your clinical study.

Objective

To develop specialized software for automated Magnetic Resonance Imaging (MRI) data analysis. The software package is to be used in clinical studies, imaging biomarkers research, clinical trials of inflammatory, cardio and neurologic diseases. The system provides information to accurately quantify treatment changes, categorize drug efficacy, and identify subgroups of patients.

Solution

While computerizing medical image analysis, this unique product distinguishes peculiar imaging biomarkers, thus accelerating the process of customary image interpretation.

It aims at facilitating image analysis workflow seamlessly integrating with major Picture Archiving Systems. After analysis study results are converted into structured reports with images, notes and statistics.

Brief functionality summary:

  • Single/network/cloud based application for both single imaging specialists and imaging departments
  • Highly scalable, web based infrastructure
  • Customizable functionality for image analysis and consequently payment
  • Customizable structured reports containing images, comments and statistics
  • Inter-user communication functionality
  • Toolboxes for 2D, 3D and 4D image analysis and biomarker scoring

At the outset the cooperation negotiations started from discussing setting up a Dedicated Development Team for the Customer - the specialists who would be focused on the client’s project on a full-time dedicated basis. That was especially important since the client’s team core has housed doctors, researches and scientists, while in terms of software development with the course of time they would prefer to completely rely on a nearshore partner like Altabel Group.

As a start point, the candidates for JAVA dev were preselected based on the provided requirements, and they passed interviews successfully. The contract was signed for 2 Senior JAVA back end and front end specialists.

Down the road the team was strengthened with one more Senior JAVA developer as well as QA specialist and Project Coordinator. Additionally the talks have been about entitling even more architecture decisions to the nearshore team making their activities proactive in these terms.

As the result, with such team composition recently the customer has been able to concentrate on the scientific research and product strategy development activities.

Actually while currently the product is applicable partially in the PACS and subcontractors segments, in future it’s planned that the system will be evolving into a comprehensive platform covering the whole anatomy of a clinical trial, from Drug Supply, CRO / CSMO, Legal / Finance, Overall PM, etc, up to embedding Ontology workflow incorporating Artificial Intelligence and Machine Learning (IBM Watson / Google DeepMind, etc).

For example, as the step during the course of the year, it’s expected to add a bunch of intelligence, data mining and text understanding. For this purpose the team is going to be enhanced with Big Data specialists with Machine Learning / AI skills as a plus.

Technologies and tools

Java 7, HTML5 / CSS3, GWTP, AngularJS, Node.js, Spring, Hibernate / JPA2, Oracle / PostgresSQL / Cassandra, Tomcat, PixelMed, Jenkins / TeamCity, JUnit, Mockito / PowerMock, Karma + PhantomJS, JSP, JasperReports, Apache Tiles, d3/nvd3, FusionCharts, ImageJ, Maven, Grunt, Git, SVN, JIRA, Confluence

Population alerting systems

Customer

Norwegian technology company with international operations, an industry leader within the area of critical communication and population alerting systems. The client specializes in creating of solutions for citizen communication and public warning for people’s security, convenience and welfare, being a pioneer in the development of advanced systems for critical messages and having many unique patents known in the industry for their technological and lifesaving capabilities.

Objective

To support the current project and extend the system’s functionalities. The product should be able to notify people about disasters, both natural and manmade, to help to react quickly in affected areas and avoid potential threats through various communication channels, as Voice, SMS, Location based SMS, Email, Fax, Facebook, Twitter, etc.

Team & Cooperation Approach

The customer was looking for an innovative and initiative highly skilled Java Engineer with experience in Ember JS (which was quite a rare framework for Java specialists). In addition to their development center in India the customer was also searching out a reliable partner in Eastern Europe, a well-known location for strong IT specialists along with affordable prices.

The selection process was quite tough, as the client wanted to see only comprehensively advanced specialists on their project. Upon СV review by the customer candidates are supposed to pass a set of tests: mathematical and logic test, programming questions and a short test task on Java. In case a candidate qualifies well, technical interviews with the Product Owner and the Team Lead follow. For our candidature the interviews passed successfully, and the developer joined the project.

On verifying Altabel’s technical competency and business flexibility, the client decided on extension of the team. A couple of other skilled Full-stack Java specialists were added to the team down the road.

Later, to strengthen the customer’s internal team even more, one of our engineers was reassigned from the external team to the internal team who had not had any experience of working with remote specialists before.

The cooperation between our companies has been successfully lasting for more than three years. Periodically in case of skilled resources shortage, the client requests additional hands power from Altabel Group.

Team and model: DDT, 3-6 Senior full-stack JAVA developers.

Solution

The product stack includes several solutions:

  • Population Alert solution - a multi-channel, scalable platform that can be used by one or several disaster management agencies affiliated with governing bodies or by private entities (university campuses, football stadiums, shopping malls, etc) to mitigate disaster risk by timely dissemination of accurate information which helps people react quickly in affected areas and avoid potential threats;
  • Emergency Preparedness suite – a web-based software modules for managing the incident life-cycle including planning for, responding to and recovery from all hazards incident and events;
  • SMS Lifesaver App – a mobile app, that makes it possible for volunteer lifesavers located near a sudden cardiac arrest to be notified, etc.

Technologies and tools

Oracle Java SE version 8, Ember JS