Use ViewModels to manage data & organize code in ASP.NET MVC applications

The concept of the ViewModel isn’t just for ASP.NET MVC, as you’ll see references to ViewModels throughout the web in articles and blog posts about the MVC, MVP, and MVVM patterns. Those posts and articles can center around any number of technologies such as ASP.NET, Silverlight, WPF, or MVC… This post will investigate ViewModels as they apply to the world of ASP.NET MVC.

What is an ASP.NET MVC ViewModel?

In ASP.NET MVC, ViewModels allow you to shape multiple entities from one or more data models or sources into a single object, optimized for consumption and rendering by the view. The below image illustrates the concept of a ViewModel:



The purpose of a ViewModel is for the view to have a single object to render, alleviating the need for UI logic code in the view that would otherwise be necessary. This means the only responsibility, or concern, of the view is to render that single ViewModel object, aiding in a cleaner separation of concerns (SoC). Concerns are distinct aspects of the application that have a particular purpose (i.e., concern), and keeping these aspects apart means your application is more organized, and the code more focused. Putting data manipulation code in its own location away from the view and controller, enforces SoC.

Using ViewModels in MVC for finer granularity and better SoC leads to more easily maintainable and testable code. Remember, unit testing is about testing small units.

Along with better coding practices, there are many business reasons demonstrating why you might consider using ViewModels:

  • Incorporating dropdown lists of lookup data into a related entity
  • Master-detail records view
  • Pagination: combining actual data and paging information
  • Components like a shopping cart or user profile widget
  • Dashboards, with multiple sources of disparate data
  • Reports, often with aggregate data

The above scenarios are common to a wide variety of applications, and deal with more complex data than basic CRUD forms-over-data page (e.g., a simple 1:1 mapping to the db table). For example, providing a list of states, and ensuring that the state that matches the state of current customer, means that you need to either provide two sets of data or a single set of customer/state data combined, as shown in the image below.



Some scenarios such as a lookup table representing states in the USA, could easily work with either ViewModels or a ViewBag/ViewData object, so there is some potential overlap at times. It’s up to the application architects and developers to decide what works best with their exact use case.

Creating a ViewModel

Although a ViewModel consists of multiple entities, at its core a ViewModel is still just a class – and one that doesn’t even inherit from anything special, as many MVC classes do.

Physically, ViewModels can exist in different locations, listed below:

  • In a folder called ViewModels that resides in the root of the project. (small apps)
  • As a .dll referenced from the MVC project (any size app)
  • In a separate project(s) as a service layer, for large applications that generate view/content specific data. (enterprise apps)

Since a ViewModel is just a class, the easiest way to get started using one is to create a new folder named ViewModels and add a new code file to it.

To create the CustomerViewModel ViewModel, add the Customer and StatesDictionary types as properties to form one CustomerViewModel class. In the example below, the CustomerViewModel class contains the newly defined properties.

public class CustomerViewModel 


    public Customer Customer { get; set; }

    public StatesDictionary States { get; set; }

    public CustomerViewModel(Customer customer)


        Customer = customer;

        States = new StatesDictionary();



Generally, ViewModels contain the word “ViewModel” as part of its name; however, the conventions at work here are for consistency in code readability, since other classes in MVC state their intents in their names as well (e.g., names of controllers, action methods, etc…use conventions in their names).

The StatesDictionary class is a simple Dictionary object containing two type parameters of type string. The class also contains the definitions for all the members in the Dictionary (i.e., the state data). The only property in the StatesDictionary class is the StateSelectList, which is an object that Html Helpers use with to render an HTML <select> element that displays a listing of states. The type Dictionary<string, string> in the StateSelectList property maps to the state abbreviation then state name, respectively.

public class StatesDictionary


    public static SelectList StateSelectList


        get { return new SelectList(StateDictionary, "Value", "Key"); }


    public static readonly IDictionary<string, string> 

        StateDictionary = new Dictionary<string, string> { 


    , { "Alabama", "AL" }

    , { "Alaska", "AK" }

    , { "Arizona", "AZ" }

    , { "Arkansas", "AR" }

    , { "California", "CA" }

    // code continues to add states...



Data that lives in small lists and infrequently changes, like the StatesDictionary class, exists in all types of applications. In real world applications, you’ll find a variety of methods for dealing with lookup data such as a list of states – often XML files and SQL tables. You can replace the code in the StateDictionary method to use entities from Entity Framework, read data from files, or any data access code that you require.

After creating the ViewModel, the next steps are to instantiate it in a controller and return it to the view.

Getting the ViewModel to the view

Starts with the controller…

Sending a ViewModel to the view for rendering will work the same as when dealing with a model. Since it’s just a class, the view doesn’t know, and doesn’t care, where the model or ViewModel came from. You can create the instance of the ViewModel class in the controller, or resolve it if using an IoC container. Remember that just as you would do with views, you should keep controllers clean of unnecessary code, meaning that only code that fetches the model or ViewModel belongs here, and little more.

public ActionResult Edit(int id)


    Customer customer = context.Customers.Single(x => x.Id == id);

    var customerViewModel = new CustomerViewModel(customer);

    return View(customerViewModel);


Then the view renders the ViewModel…

In order for the view to know what object to use, set the @model keyword to point to the ViewModel, just like you already would with a regular model.

@model FourthCoffee.Web.ViewModels.CustomerViewModel

Because the Customer object is a property of the ViewModel, you’ll see the model.Class.Property syntax to access the ViewModel data, similar to the following line of code.

<div class="editor-label">

    @Html.LabelFor(model => model.Customer.FirstName)


<div class="editor-field">

    @Html.EditorFor(model => model.Customer.FirstName)

    @Html.ValidationMessageFor(model => model.Customer.FirstName)


@* ...View code continues rendering properties... *@

Additionally, you can edit the Edit/Create views so that the DropDownList containing a list of the states will display, and display the correct state matching that of the customer.

<div class="editor-field">    

    @Html.DropDownList("state", new SelectList(StatesDictionary.StateSelectList, 

                       "Value", "Text", Model.Customer == null ? "" : Model.Customer.State))

    @Html.ValidationMessageFor(model => model.Customer.State)


As you might have noticed, using a ViewModel is just as easy as using the ViewBag or ViewData objects. ViewModels, however, provide those extra benefits like being easier to test and optimize.

Checking the results

After a user navigates to the /Customers/Edit/1 URL in the browser, the Razor view engine renders the CustomerViewModel similarly to the following screen shot.


The State DropDownList displays the states and the current state for that customer, as expected.

Digging Further into ViewModels

Because ViewModels render pre-manipulated data that no longer have those 1:1 mappings between model classes and database tables, you’ll need to do create mappings yourself. You can manually map small ViewModels, but this will quickly become burdensome when mapping larger classes, especially when working with parent-child-grandchild, multi-level, or complex data. This is where a tool such as AutoMapper comes into play. AutoMapper will let you fluently setup mappings between ViewModels and models more easily than doing so manually, or writing your own mapper.

Here are some tips for using ViewModels:

  • Put only data that you’ll render in the ViewModel.
  • The view should direct the properties of the ViewModel, this way it fits better for rendering and maintenance.
  • Use a mapper when ViewModels become complex.

Some tools that can help assist you in generating POCOs (Plain Old CLR Objects) for models and ViewModels are:

POCO Generator

EF POCO Templates

In addition to these tools, you can use MvcScaffolding to create actions and views based on ViewModels. MvcScaffolding, invention of ASP.NET team member Steve Sanderson, gives you more power in creating CRUD, repository, unit test and other templates quickly and painlessly. Check out Steve’s Multi-part series on MvcScaffolding here. MvcScaffolding works with ViewModels as well as models.

You should always prefer using a ViewModel rather than instantiating multiple models and putting that manipulation code in the controller.


ViewModels help you organize and manage data in MVC applications when you need to work with more complex data than the other objects allow. Using ViewModels gives you the flexibility to use data as you see fit. ViewModels area generally a more flexible way to access multiple data sources than models + ViewBag/ViewData objects.

Further reading: Comparing the MVC and MVVM patterns along with their respective ViewModels

Download the code!

Stats, data, and answers, as to why there are so few women in technology fields.

Women today represent an abysmal percentage of the population of most STEM fields (Science, Technology, Engineering, and Math), and that number is shrinking, rather than expanding. At the same time, fewer young women are entering the STEM workforce than in previous years.

Why are women leaving STEM fields?

Researchers have been gathering volumes of data as to the why there are fewer women are staying in, or entering STEM fields, and from that data we can see many issues that cover a spectrum from that need to be addressed:

  • Sexism: overt and subtle (hostile macho cultures)
  • Harassment, threats, or potential or actual violence toward women
  • Childcare
  • Financial Independence
  • Gender Stereotyping
  • Work-life balance

Considering the number of challenges, addressing the lack of women in technology is a multifaceted phenomenon with no single solution, with each matter deserving attention. The primary goals of this post will focus on demonstrating…

  1. Incidents of sexism at industry events, and online conversations, and their link to the decline of women in STEM fields.
  2. The effects sexism has on women and the STEM industries as a whole, both now and in the future.
  3. A call to action to drive awareness and take a proactive stance in promoting women friendly STEM workplaces, conferences, schools, and meeting places.

By understanding these influences women in technology, particularly in software development, we can take corrective and proactive stances, in the retention, engagement, and attraction of top female talent.

Incidents of sexism are major contributors to a declining female STEM workforce.

The National Center for Women In Technology describes sexist incidents [.pdf] in various ways including,

“experienced/observed exclusionary cliques, unwanted sexual teasing, being bullied, and homophobic jokes”.

Consider that  between January and October 2011, women reported 20 sexist incidents to the Geek Feminism Wiki, with some common themes: 

  • Several talks at tech conferences contained pornographic style imagery, or sexual imagery.
  • Multiple presentations referenced women in a derogatory or demeaning way, (e.g., “women can’t program”, “women are stupid”) or by overt or subtle objectification of women.
  • Overt harassment, inappropriate touching, and groping are still commonplace at technical conferences.

Roughly one incident every two weeks this year means that this happens more than we’d like to think – and that’s only the reports from a single website.

Exclusionary, offensive, incidents at conferences, along with threats, violence, and harassment, against women in technology (and women in general) are simply not isolated occasions. They have profound implications that directly impact the declining numbers of women in technology. The Washington Post outlines some statistics demonstrating this, in a study on interactions between men and women during online chat sessions.

“A 2006 University of Maryland study on chat rooms found that female participants received 25 times as many sexually explicit and malicious messages as males. A 2005 study by the Pew Internet & American Life Project found that the proportion of Internet users who took part in chats and discussion groups plunged from 28 percent in 2000 to 17 percent in 2005, entirely because of the exodus of women.” [emphasis mine]

Those numbers have barely improved, five years later. Additionally, the participants in this study belong to a general online audience and not solely the STEM fields, so one must consider the fact that STEM fields are male dominated, resulting in a larger amount of sexist behavior.

Though not the only reason, the numbers show that in software development specifically, sexist and overtly offensive behavior (both online and off) is one of two key factors as to why women are leaving technical fields as reported by ABC News. This article quotes Laura Sherbin, director at the Center for Work-Life Policy, who published a study in the Harvard Business Review titled “Reversing the Brain Drain in Science, Engineering, and Technology”. Laura goes on to explain the primary reasons women leave STEM fields…

“The top two reasons why women leave are the hostile macho cultures — the hard hat culture of engineering, the geek culture of technology or the lab culture of science … and extreme work pressures”

Sherbin also highlights just how critical and surprising the numbers are, even to researchers.

“The dropping out was a surprise to us. We knew anecdotally that women were leaving these careers. We didn’t expect to see the number 52 percent.”

To reiterate: 52% or just over half, of the female STEM workforce leaves because of hostile macho cultures.

Let’s do the math:

  • Assume the average tech conference has 300 attendees.
  • The average turnout of females at a technical conference is at about 15%, or 45 women in this example.
  • 52%, or 23 of the women at that event will leave the industry[1].
  • At a rate approximately of 26 events per year affecting 23 women each time, 598 women will be subjected to a hostile environment each year[1].

The cost in human terms and individual well-being is immeasurable.

A look at the negative effects and human cost of sexist behavior in STEM fields.

Considering the above numbers, try out this thought exercise, showing the implications of sexist incidents on women in software.

  1. Think of the names 23 women developers that you work alongside, have worked with, or know. Try it without looking at social networks, checking address books, etc…
  2. Think about these women. Are they your coworkers? Presenters you admire? Are they women with whom you enjoy having technical conversations, perhaps at conferences, code camps, or over social networks?
  3. There’s essentially a 50/50 chance, or the same chance as the toss of a coin, that those 23 women won’t be developers for much longer.

Once they’re gone, can you name 23 more women to replace them? It won’t be the younger girls entering the field.

The consequences have a stifling effect on younger girls wanting to enter the technology fields before they have a chance to start. Numbers show that a huge impasse in attracting young girls into the STEM fields, is a serious lack of women role models in those fields. Less women staying in the field means fewer role models for young girls, which in turn means fewer STEM girls overall.

It’s not just about sexist incidents though, subtle sexism can bleed into the everyday atmosphere of in tech fields and cause the same amount of negative barriers. While the day to day activ
ities of most technical women might not vary much from that of men, as far as actual programming, sitting in meetings, mundane business tasks, etc… What do differ are the interactions between the sexes, as well as both overt and subconscious behavior that manifests as sexist incidents, though primarily non-malicious, and most often subconscious. For example, here are some commonplace scenarios where subtle sexism happens in companies large and small[2][3]:

  • Men who repeatedly ask only the women attending meeting to take notes, or get coffee, when the woman is not a secretary or in a similar role.
  • Colleagues that routinely ignore women during meetings, or a female states an idea that is promptly ignored, then raised again by a man who gets the credit. (in a consistent, frequent, pattern)
  • Women, rather than men, are routinely stuck into “softer” positions, often to answer phones. Management gives women more remedial tasks that are clearly not aligned with their job description or what they were hired to do.

The sentiments above are detailed in a report by Level Playing Field Institute titled “The Tilted Playing Field: Hidden bias in information technology workspaces”  [.pdf]. Reading about recent events and stories of everything from demeaning comments, to outright harassment, stalking, and groping, are still commonplace in the tech industry. I must agree that I’ve personally been privy to a number of these types of scenarios, but that’s not all…

When an incident at a conference happens, I inevitably get a call or email from a female colleague who has just given up, and is now looking at non-technical career alternatives.

If we are to keep our technical industries healthy, and full of diverse creativity, things must change, and soon. So what can you do?

A Call to Action: Drive awareness and take the lead to promote diversity in STEM fields.

Below are just some of the things you can do to drive diversity and promote women in STEM fields:

Drive awareness.

It may seem obvious, but without awareness, it’s impossible to know there’s a problem.

You can drive awareness by blogging, tweeting, or otherwise telling your story, or commenting on blogs to show your support. The Level Playing field’s report shows a real lack of awareness in populations at large. The more blog posts, articles, and events, mean more information people can use to take proactive stances to create technical communities and workspaces that are welcoming to everyone.

Be proactive.

  • Does your company have a diversity and inclusion policy? Even if you work for a small business or startup, a formal policy of inclusion fosters a welcoming environment for everyone. If you company doesn’t have one, get involved and ask your HR department to work on one with you. Don’t let your policy be a paper form of lip service, make it part of how you do business.
  • Does your HR department have a clear open door policy, with a trusted employee to listen to concerns?
  • Attend women in technology events. Hint: Take your favorite gal developer with you. At the Code Camp NYC 2011 WIT luncheon, a healthy mix of men and women joined in for a productive, round-table discussion.
  • Ask technical women work on a joint talk with you for a user group or code camp, and invite them to technical events.

Awesome guys like John Zablocki and coworkers like Joe Healy, Peter Laudati, and Brian Prince, are just a few of the many guys I see at WIT related events.

Presenters & conference organizers:

Speakers can use the Windows Phone 7 app content guidelines, or the Android app marketplace rating guide when s/he’s not sure what material should be considered offensive.

Organizers can create written guidelines to ensure a harassment-free environment for everyone at your conference, user group, or other meeting.

CodeStock 2010 set a perfect example to follow by embracing a WIT centered theme, including a female keynote speaker (*ahem* that would be me 🙂 ).


I would love to see every company behave as MS DPE East does, and I hope that you, dear readers of this blog, will step up to foster an environment in your workplaces and homes that support and celebrate women and diversity in STEM fields.

Should an incident occur at an event you’re attending, take corrective action as soon as possible. If you’re in a conference session and you feel offended or uncomfortable, walk out calmly, and write down exactly what you feel is offensive or inappropriate. Take the evaluation to the conference staff, and ask that they check out the session in question.

[1] The numbers in this sample represent one source of reports, so the actual numbers are much higher. Additionally, the number 23 is rounded from 23.4. Also assuming a single track conference, which is fairly common.

[2] These aren’t just manufactured scenarios – they’re real life stories from female contemporaries.

[3] As for large companies, my experiences at Microsoft DPE have been great!. I work on an highly functioning team with awesome people who celebrate diversity in technology and are quite supportive of each other.