App development is becoming more and more popular, as web and software developers are migrating to the mobile industry. Secure development on mobile applications, however, has not shown the same level of growth or maturity. This article sums the best ways to build secure apps. It concentrates on OWASP top 10 (and similar) vulnerabilities, as these are most commonly found in mobile apps.

In an earlier post we showed how enterprise app developers make 4 times the revenue of those developing consumer apps on average. Targeting enterprises with apps can be very different from building consumer apps and not all developers prioritise revenue, so it’s not for everyone.

Do you want the indie developer lifestyle, or to build a company? What sort of contact do you want to have with your customers? Do you like consulting work or do you prefer to build your own products full time? Do you have a strong development platform preference? Depending on your answers to these questions you might find one of the 4 reasons below keeps you focussed on consumer apps for the foreseeable future.

The most popular revenue models appear to be those that are easiest to implement. The developers using them tend to have lower revenues. This may be due to greater competition or it might just be a result of less sophisticated app businesses producing less valuable apps. There are some interesting differences between platforms but subscriptions appear to be a relatively untapped gold mine everywhere, although maybe not for everyone.

The mobile apps business is maturing and while most of the media attention is still focussed on the latest app store success stories, developers are finding lots of better ways to make revenue with their apps. Considering all revenue sources, which categories of application are generating the most money and what’s the competition like on each platform?

John Cooper, founder of Pyxis Ventures, shares his personal experiences with promoting apps.

Using a Backend-as-a-Service (BaaS) can reduce development cost and time-to-market. It’s a simple way of getting a highly scalable backend solution without significant upfront investment. In a world where an app that hits the store top charts might gain more than a million new users before you complete your next iteration of development this is worthy of serious consideration.

Testing any mobile app presents a wide range of challenges. The often repeated but rarely followed software best practice of test early, test often is harder to adhere to than usual due to the fragmentation of the target environment and the relative maturity of tools. The increased acceptance of apps by mainstream consumers and intense competition have raised the bars for user experience and quality. There is more to test than ever, yet often very limited budget for doing so. Fortunately every challenge presents an opportunity and a vast array of tools vendors are racing to fill the gaps.

Usage Analytics tools help developers understand their users and the way they interact with their apps. Measuring app usage in this way and using the data to help target improvements to the app can significantly improve revenues. We asked developers to rate their primary analytics tool across a range of criteria. The results tell us which are developers’ first choice tools and how they compare.

Alexis Piperides, co-founder and CEO of Proto.io, takes us on a tour across the fascinating landscape of prototyping tools. In these early days of iterative design of mobile applications, can tools and services help to drive perfection?

The “write once, run anywhere” concept may be pure fantasy for most apps but sharing code across platforms is desirable and in some cases essential to making projects economically viable. With the application frameworks for all the biggest platforms being in different languages, the market for Cross-Platform Tools (CPTs) to enable code reuse is understandably the largest one (in terms of number of competing solutions) we track. The time required to evaluate all of them is far beyond what most developers can afford to spend on such research. So, which tools are the best?